Overview

Dataset statistics

Number of variables366
Number of observations891,221
Missing cells33,492,923
Missing cells (%)10.3%
Total size in memory2.4 GiB
Average record size in memory2.9 KiB

Variable types

Numeric360
Categorical4
Unsupported2

Warnings

EINGEFUEGT_AM has a high cardinality: 5162 distinct values High cardinality
AKT_DAT_KL has 73499 (8.2%) missing values Missing
ALTER_HH has 73499 (8.2%) missing values Missing
ALTER_KIND1 has 810163 (90.9%) missing values Missing
ALTER_KIND2 has 861722 (96.7%) missing values Missing
ALTER_KIND3 has 885051 (99.3%) missing values Missing
ALTER_KIND4 has 890016 (99.9%) missing values Missing
ALTERSKATEGORIE_FEIN has 262947 (29.5%) missing values Missing
ANZ_HAUSHALTE_AKTIV has 93148 (10.5%) missing values Missing
ANZ_HH_TITEL has 97008 (10.9%) missing values Missing
ANZ_KINDER has 73499 (8.2%) missing values Missing
ANZ_PERSONEN has 73499 (8.2%) missing values Missing
ANZ_STATISTISCHE_HAUSHALTE has 93148 (10.5%) missing values Missing
ANZ_TITEL has 73499 (8.2%) missing values Missing
ARBEIT has 97216 (10.9%) missing values Missing
BALLRAUM has 93740 (10.5%) missing values Missing
CAMEO_DEU_2015 has 98979 (11.1%) missing values Missing
CAMEO_DEUG_2015 has 98979 (11.1%) missing values Missing
CAMEO_INTL_2015 has 98979 (11.1%) missing values Missing
D19_BANKEN_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_GESAMT_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_KONSUMTYP has 257113 (28.8%) missing values Missing
D19_LETZTER_KAUF_BRANCHE has 257113 (28.8%) missing values Missing
D19_LOTTO has 257113 (28.8%) missing values Missing
D19_SOZIALES has 257113 (28.8%) missing values Missing
D19_TELKO_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_VERSAND_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
D19_VERSI_ONLINE_QUOTE_12 has 257113 (28.8%) missing values Missing
DSL_FLAG has 93148 (10.5%) missing values Missing
EINGEFUEGT_AM has 93148 (10.5%) missing values Missing
EINGEZOGENAM_HH_JAHR has 73499 (8.2%) missing values Missing
EWDICHTE has 93740 (10.5%) missing values Missing
EXTSEL992 has 654153 (73.4%) missing values Missing
FIRMENDICHTE has 93155 (10.5%) missing values Missing
GEBAEUDETYP has 93148 (10.5%) missing values Missing
GEBAEUDETYP_RASTER has 93155 (10.5%) missing values Missing
GEMEINDETYP has 97274 (10.9%) missing values Missing
HH_DELTA_FLAG has 107602 (12.1%) missing values Missing
HH_EINKOMMEN_SCORE has 18348 (2.1%) missing values Missing
INNENSTADT has 93740 (10.5%) missing values Missing
KBA05_ALTER1 has 133324 (15.0%) missing values Missing
KBA05_ALTER2 has 133324 (15.0%) missing values Missing
KBA05_ALTER3 has 133324 (15.0%) missing values Missing
KBA05_ALTER4 has 133324 (15.0%) missing values Missing
KBA05_ANHANG has 133324 (15.0%) missing values Missing
KBA05_ANTG1 has 133324 (15.0%) missing values Missing
KBA05_ANTG2 has 133324 (15.0%) missing values Missing
KBA05_ANTG3 has 133324 (15.0%) missing values Missing
KBA05_ANTG4 has 133324 (15.0%) missing values Missing
KBA05_AUTOQUOT has 133324 (15.0%) missing values Missing
KBA05_BAUMAX has 133324 (15.0%) missing values Missing
KBA05_CCM1 has 133324 (15.0%) missing values Missing
KBA05_CCM2 has 133324 (15.0%) missing values Missing
KBA05_CCM3 has 133324 (15.0%) missing values Missing
KBA05_CCM4 has 133324 (15.0%) missing values Missing
KBA05_DIESEL has 133324 (15.0%) missing values Missing
KBA05_FRAU has 133324 (15.0%) missing values Missing
KBA05_GBZ has 133324 (15.0%) missing values Missing
KBA05_HERST1 has 133324 (15.0%) missing values Missing
KBA05_HERST2 has 133324 (15.0%) missing values Missing
KBA05_HERST3 has 133324 (15.0%) missing values Missing
KBA05_HERST4 has 133324 (15.0%) missing values Missing
KBA05_HERST5 has 133324 (15.0%) missing values Missing
KBA05_HERSTTEMP has 93148 (10.5%) missing values Missing
KBA05_KRSAQUOT has 133324 (15.0%) missing values Missing
KBA05_KRSHERST1 has 133324 (15.0%) missing values Missing
KBA05_KRSHERST2 has 133324 (15.0%) missing values Missing
KBA05_KRSHERST3 has 133324 (15.0%) missing values Missing
KBA05_KRSKLEIN has 133324 (15.0%) missing values Missing
KBA05_KRSOBER has 133324 (15.0%) missing values Missing
KBA05_KRSVAN has 133324 (15.0%) missing values Missing
KBA05_KRSZUL has 133324 (15.0%) missing values Missing
KBA05_KW1 has 133324 (15.0%) missing values Missing
KBA05_KW2 has 133324 (15.0%) missing values Missing
KBA05_KW3 has 133324 (15.0%) missing values Missing
KBA05_MAXAH has 133324 (15.0%) missing values Missing
KBA05_MAXBJ has 133324 (15.0%) missing values Missing
KBA05_MAXHERST has 133324 (15.0%) missing values Missing
KBA05_MAXSEG has 133324 (15.0%) missing values Missing
KBA05_MAXVORB has 133324 (15.0%) missing values Missing
KBA05_MOD1 has 133324 (15.0%) missing values Missing
KBA05_MOD2 has 133324 (15.0%) missing values Missing
KBA05_MOD3 has 133324 (15.0%) missing values Missing
KBA05_MOD4 has 133324 (15.0%) missing values Missing
KBA05_MOD8 has 133324 (15.0%) missing values Missing
KBA05_MODTEMP has 93148 (10.5%) missing values Missing
KBA05_MOTOR has 133324 (15.0%) missing values Missing
KBA05_MOTRAD has 133324 (15.0%) missing values Missing
KBA05_SEG1 has 133324 (15.0%) missing values Missing
KBA05_SEG10 has 133324 (15.0%) missing values Missing
KBA05_SEG2 has 133324 (15.0%) missing values Missing
KBA05_SEG3 has 133324 (15.0%) missing values Missing
KBA05_SEG4 has 133324 (15.0%) missing values Missing
KBA05_SEG5 has 133324 (15.0%) missing values Missing
KBA05_SEG6 has 133324 (15.0%) missing values Missing
KBA05_SEG7 has 133324 (15.0%) missing values Missing
KBA05_SEG8 has 133324 (15.0%) missing values Missing
KBA05_SEG9 has 133324 (15.0%) missing values Missing
KBA05_VORB0 has 133324 (15.0%) missing values Missing
KBA05_VORB1 has 133324 (15.0%) missing values Missing
KBA05_VORB2 has 133324 (15.0%) missing values Missing
KBA05_ZUL1 has 133324 (15.0%) missing values Missing
KBA05_ZUL2 has 133324 (15.0%) missing values Missing
KBA05_ZUL3 has 133324 (15.0%) missing values Missing
KBA05_ZUL4 has 133324 (15.0%) missing values Missing
KBA13_ALTERHALTER_30 has 105800 (11.9%) missing values Missing
KBA13_ALTERHALTER_45 has 105800 (11.9%) missing values Missing
KBA13_ALTERHALTER_60 has 105800 (11.9%) missing values Missing
KBA13_ALTERHALTER_61 has 105800 (11.9%) missing values Missing
KBA13_ANTG1 has 105800 (11.9%) missing values Missing
KBA13_ANTG2 has 105800 (11.9%) missing values Missing
KBA13_ANTG3 has 105800 (11.9%) missing values Missing
KBA13_ANTG4 has 105800 (11.9%) missing values Missing
KBA13_ANZAHL_PKW has 105800 (11.9%) missing values Missing
KBA13_AUDI has 105800 (11.9%) missing values Missing
KBA13_AUTOQUOTE has 105800 (11.9%) missing values Missing
KBA13_BAUMAX has 105800 (11.9%) missing values Missing
KBA13_BJ_1999 has 105800 (11.9%) missing values Missing
KBA13_BJ_2000 has 105800 (11.9%) missing values Missing
KBA13_BJ_2004 has 105800 (11.9%) missing values Missing
KBA13_BJ_2006 has 105800 (11.9%) missing values Missing
KBA13_BJ_2008 has 105800 (11.9%) missing values Missing
KBA13_BJ_2009 has 105800 (11.9%) missing values Missing
KBA13_BMW has 105800 (11.9%) missing values Missing
KBA13_CCM_0_1400 has 105800 (11.9%) missing values Missing
KBA13_CCM_1000 has 105800 (11.9%) missing values Missing
KBA13_CCM_1200 has 105800 (11.9%) missing values Missing
KBA13_CCM_1400 has 105800 (11.9%) missing values Missing
KBA13_CCM_1401_2500 has 105800 (11.9%) missing values Missing
KBA13_CCM_1500 has 105800 (11.9%) missing values Missing
KBA13_CCM_1600 has 105800 (11.9%) missing values Missing
KBA13_CCM_1800 has 105800 (11.9%) missing values Missing
KBA13_CCM_2000 has 105800 (11.9%) missing values Missing
KBA13_CCM_2500 has 105800 (11.9%) missing values Missing
KBA13_CCM_2501 has 105800 (11.9%) missing values Missing
KBA13_CCM_3000 has 105800 (11.9%) missing values Missing
KBA13_CCM_3001 has 105800 (11.9%) missing values Missing
KBA13_FAB_ASIEN has 105800 (11.9%) missing values Missing
KBA13_FAB_SONSTIGE has 105800 (11.9%) missing values Missing
KBA13_FIAT has 105800 (11.9%) missing values Missing
KBA13_FORD has 105800 (11.9%) missing values Missing
KBA13_GBZ has 105800 (11.9%) missing values Missing
KBA13_HALTER_20 has 105800 (11.9%) missing values Missing
KBA13_HALTER_25 has 105800 (11.9%) missing values Missing
KBA13_HALTER_30 has 105800 (11.9%) missing values Missing
KBA13_HALTER_35 has 105800 (11.9%) missing values Missing
KBA13_HALTER_40 has 105800 (11.9%) missing values Missing
KBA13_HALTER_45 has 105800 (11.9%) missing values Missing
KBA13_HALTER_50 has 105800 (11.9%) missing values Missing
KBA13_HALTER_55 has 105800 (11.9%) missing values Missing
KBA13_HALTER_60 has 105800 (11.9%) missing values Missing
KBA13_HALTER_65 has 105800 (11.9%) missing values Missing
KBA13_HALTER_66 has 105800 (11.9%) missing values Missing
KBA13_HERST_ASIEN has 105800 (11.9%) missing values Missing
KBA13_HERST_AUDI_VW has 105800 (11.9%) missing values Missing
KBA13_HERST_BMW_BENZ has 105800 (11.9%) missing values Missing
KBA13_HERST_EUROPA has 105800 (11.9%) missing values Missing
KBA13_HERST_FORD_OPEL has 105800 (11.9%) missing values Missing
KBA13_HERST_SONST has 105800 (11.9%) missing values Missing
KBA13_HHZ has 105800 (11.9%) missing values Missing
KBA13_KMH_0_140 has 105800 (11.9%) missing values Missing
KBA13_KMH_110 has 105800 (11.9%) missing values Missing
KBA13_KMH_140 has 105800 (11.9%) missing values Missing
KBA13_KMH_140_210 has 105800 (11.9%) missing values Missing
KBA13_KMH_180 has 105800 (11.9%) missing values Missing
KBA13_KMH_210 has 105800 (11.9%) missing values Missing
KBA13_KMH_211 has 105800 (11.9%) missing values Missing
KBA13_KMH_250 has 105800 (11.9%) missing values Missing
KBA13_KMH_251 has 105800 (11.9%) missing values Missing
KBA13_KRSAQUOT has 105800 (11.9%) missing values Missing
KBA13_KRSHERST_AUDI_VW has 105800 (11.9%) missing values Missing
KBA13_KRSHERST_BMW_BENZ has 105800 (11.9%) missing values Missing
KBA13_KRSHERST_FORD_OPEL has 105800 (11.9%) missing values Missing
KBA13_KRSSEG_KLEIN has 105800 (11.9%) missing values Missing
KBA13_KRSSEG_OBER has 105800 (11.9%) missing values Missing
KBA13_KRSSEG_VAN has 105800 (11.9%) missing values Missing
KBA13_KRSZUL_NEU has 105800 (11.9%) missing values Missing
KBA13_KW_0_60 has 105800 (11.9%) missing values Missing
KBA13_KW_110 has 105800 (11.9%) missing values Missing
KBA13_KW_120 has 105800 (11.9%) missing values Missing
KBA13_KW_121 has 105800 (11.9%) missing values Missing
KBA13_KW_30 has 105800 (11.9%) missing values Missing
KBA13_KW_40 has 105800 (11.9%) missing values Missing
KBA13_KW_50 has 105800 (11.9%) missing values Missing
KBA13_KW_60 has 105800 (11.9%) missing values Missing
KBA13_KW_61_120 has 105800 (11.9%) missing values Missing
KBA13_KW_70 has 105800 (11.9%) missing values Missing
KBA13_KW_80 has 105800 (11.9%) missing values Missing
KBA13_KW_90 has 105800 (11.9%) missing values Missing
KBA13_MAZDA has 105800 (11.9%) missing values Missing
KBA13_MERCEDES has 105800 (11.9%) missing values Missing
KBA13_MOTOR has 105800 (11.9%) missing values Missing
KBA13_NISSAN has 105800 (11.9%) missing values Missing
KBA13_OPEL has 105800 (11.9%) missing values Missing
KBA13_PEUGEOT has 105800 (11.9%) missing values Missing
KBA13_RENAULT has 105800 (11.9%) missing values Missing
KBA13_SEG_GELAENDEWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_GROSSRAUMVANS has 105800 (11.9%) missing values Missing
KBA13_SEG_KLEINST has 105800 (11.9%) missing values Missing
KBA13_SEG_KLEINWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_KOMPAKTKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_MINIVANS has 105800 (11.9%) missing values Missing
KBA13_SEG_MINIWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_MITTELKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_OBEREMITTELKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_OBERKLASSE has 105800 (11.9%) missing values Missing
KBA13_SEG_SONSTIGE has 105800 (11.9%) missing values Missing
KBA13_SEG_SPORTWAGEN has 105800 (11.9%) missing values Missing
KBA13_SEG_UTILITIES has 105800 (11.9%) missing values Missing
KBA13_SEG_VAN has 105800 (11.9%) missing values Missing
KBA13_SEG_WOHNMOBILE has 105800 (11.9%) missing values Missing
KBA13_SITZE_4 has 105800 (11.9%) missing values Missing
KBA13_SITZE_5 has 105800 (11.9%) missing values Missing
KBA13_SITZE_6 has 105800 (11.9%) missing values Missing
KBA13_TOYOTA has 105800 (11.9%) missing values Missing
KBA13_VORB_0 has 105800 (11.9%) missing values Missing
KBA13_VORB_1 has 105800 (11.9%) missing values Missing
KBA13_VORB_1_2 has 105800 (11.9%) missing values Missing
KBA13_VORB_2 has 105800 (11.9%) missing values Missing
KBA13_VORB_3 has 105800 (11.9%) missing values Missing
KBA13_VW has 105800 (11.9%) missing values Missing
KK_KUNDENTYP has 584612 (65.6%) missing values Missing
KKK has 121196 (13.6%) missing values Missing
KONSUMNAEHE has 73969 (8.3%) missing values Missing
KONSUMZELLE has 93155 (10.5%) missing values Missing
MIN_GEBAEUDEJAHR has 93148 (10.5%) missing values Missing
MOBI_RASTER has 93148 (10.5%) missing values Missing
MOBI_REGIO has 133324 (15.0%) missing values Missing
ORTSGR_KLS9 has 97216 (10.9%) missing values Missing
OST_WEST_KZ has 93148 (10.5%) missing values Missing
PLZ8_ANTG1 has 116515 (13.1%) missing values Missing
PLZ8_ANTG2 has 116515 (13.1%) missing values Missing
PLZ8_ANTG3 has 116515 (13.1%) missing values Missing
PLZ8_ANTG4 has 116515 (13.1%) missing values Missing
PLZ8_BAUMAX has 116515 (13.1%) missing values Missing
PLZ8_GBZ has 116515 (13.1%) missing values Missing
PLZ8_HHZ has 116515 (13.1%) missing values Missing
REGIOTYP has 121196 (13.6%) missing values Missing
RELAT_AB has 97216 (10.9%) missing values Missing
RT_UEBERGROESSE has 51226 (5.7%) missing values Missing
SOHO_KZ has 73499 (8.2%) missing values Missing
STRUKTURTYP has 97274 (10.9%) missing values Missing
TITEL_KZ has 73499 (8.2%) missing values Missing
UMFELD_ALT has 97786 (11.0%) missing values Missing
UMFELD_JUNG has 97786 (11.0%) missing values Missing
UNGLEICHENN_FLAG has 73499 (8.2%) missing values Missing
VERDICHTUNGSRAUM has 97274 (10.9%) missing values Missing
VHA has 73499 (8.2%) missing values Missing
VHN has 121196 (13.6%) missing values Missing
VK_DHT4A has 75917 (8.5%) missing values Missing
VK_DISTANZ has 75917 (8.5%) missing values Missing
VK_ZG11 has 75917 (8.5%) missing values Missing
W_KEIT_KIND_HH has 107602 (12.1%) missing values Missing
WOHNDAUER_2008 has 73499 (8.2%) missing values Missing
WOHNLAGE has 93148 (10.5%) missing values Missing
ANZ_HH_TITEL is highly skewed (γ1 = 22.71869357) Skewed
D19_TELKO_ONLINE_QUOTE_12 is highly skewed (γ1 = 28.50527578) Skewed
TITEL_KZ is highly skewed (γ1 = 39.64777145) Skewed
LNR has unique values Unique
CAMEO_DEUG_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
CAMEO_INTL_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
ALTER_HH has 236768 (26.6%) zeros Zeros
ALTERSKATEGORIE_FEIN has 41188 (4.6%) zeros Zeros
ANZ_HH_TITEL has 770244 (86.4%) zeros Zeros
ANZ_KINDER has 731242 (82.0%) zeros Zeros
ANZ_PERSONEN has 34103 (3.8%) zeros Zeros
ANZ_TITEL has 814542 (91.4%) zeros Zeros
D19_BANKEN_ANZ_12 has 831734 (93.3%) zeros Zeros
D19_BANKEN_ANZ_24 has 794100 (89.1%) zeros Zeros
D19_BANKEN_DIREKT has 728811 (81.8%) zeros Zeros
D19_BANKEN_GROSS has 785351 (88.1%) zeros Zeros
D19_BANKEN_LOKAL has 874745 (98.2%) zeros Zeros
D19_BANKEN_ONLINE_QUOTE_12 has 588874 (66.1%) zeros Zeros
D19_BANKEN_REST has 821760 (92.2%) zeros Zeros
D19_BEKLEIDUNG_GEH has 809304 (90.8%) zeros Zeros
D19_BEKLEIDUNG_REST has 692502 (77.7%) zeros Zeros
D19_BILDUNG has 813156 (91.2%) zeros Zeros
D19_BIO_OEKO has 854074 (95.8%) zeros Zeros
D19_BUCH_CD has 622788 (69.9%) zeros Zeros
D19_DIGIT_SERV has 857661 (96.2%) zeros Zeros
D19_DROGERIEARTIKEL has 761014 (85.4%) zeros Zeros
D19_ENERGIE has 829857 (93.1%) zeros Zeros
D19_FREIZEIT has 790748 (88.7%) zeros Zeros
D19_GARTEN has 851626 (95.6%) zeros Zeros
D19_GESAMT_ANZ_12 has 584797 (65.6%) zeros Zeros
D19_GESAMT_ANZ_24 has 505303 (56.7%) zeros Zeros
D19_GESAMT_ONLINE_QUOTE_12 has 393075 (44.1%) zeros Zeros
D19_HANDWERK has 768381 (86.2%) zeros Zeros
D19_HAUS_DEKO has 713100 (80.0%) zeros Zeros
D19_KINDERARTIKEL has 749365 (84.1%) zeros Zeros
D19_KOSMETIK has 745836 (83.7%) zeros Zeros
D19_LEBENSMITTEL has 837914 (94.0%) zeros Zeros
D19_LOTTO has 490843 (55.1%) zeros Zeros
D19_NAHRUNGSERGAENZUNG has 852176 (95.6%) zeros Zeros
D19_RATGEBER has 805071 (90.3%) zeros Zeros
D19_REISEN has 736924 (82.7%) zeros Zeros
D19_SAMMELARTIKEL has 802085 (90.0%) zeros Zeros
D19_SCHUHE has 773024 (86.7%) zeros Zeros
D19_SONSTIGE has 505953 (56.8%) zeros Zeros
D19_SOZIALES has 505828 (56.8%) zeros Zeros
D19_TECHNIK has 630101 (70.7%) zeros Zeros
D19_TELKO_ANZ_12 has 857990 (96.3%) zeros Zeros
D19_TELKO_ANZ_24 has 826208 (92.7%) zeros Zeros
D19_TELKO_MOBILE has 726804 (81.6%) zeros Zeros
D19_TELKO_ONLINE_QUOTE_12 has 633320 (71.1%) zeros Zeros
D19_TELKO_REST has 765973 (85.9%) zeros Zeros
D19_TIERARTIKEL has 852220 (95.6%) zeros Zeros
D19_VERSAND_ANZ_12 has 637972 (71.6%) zeros Zeros
D19_VERSAND_ANZ_24 has 563818 (63.3%) zeros Zeros
D19_VERSAND_ONLINE_QUOTE_12 has 417367 (46.8%) zeros Zeros
D19_VERSAND_REST has 734442 (82.4%) zeros Zeros
D19_VERSI_ANZ_12 has 821289 (92.2%) zeros Zeros
D19_VERSI_ANZ_24 has 777037 (87.2%) zeros Zeros
D19_VERSI_ONLINE_QUOTE_12 has 632462 (71.0%) zeros Zeros
D19_VERSICHERUNGEN has 654664 (73.5%) zeros Zeros
D19_VOLLSORTIMENT has 600002 (67.3%) zeros Zeros
D19_WEIN_FEINKOST has 836142 (93.8%) zeros Zeros
DSL_FLAG has 25685 (2.9%) zeros Zeros
GEBURTSJAHR has 392318 (44.0%) zeros Zeros
GREEN_AVANTGARDE has 715996 (80.3%) zeros Zeros
HH_DELTA_FLAG has 710942 (79.8%) zeros Zeros
KBA05_ALTER1 has 102789 (11.5%) zeros Zeros
KBA05_ALTER4 has 50127 (5.6%) zeros Zeros
KBA05_ANHANG has 266145 (29.9%) zeros Zeros
KBA05_ANTG1 has 261049 (29.3%) zeros Zeros
KBA05_ANTG2 has 292538 (32.8%) zeros Zeros
KBA05_ANTG3 has 511545 (57.4%) zeros Zeros
KBA05_ANTG4 has 600171 (67.3%) zeros Zeros
KBA05_BAUMAX has 343200 (38.5%) zeros Zeros
KBA05_CCM4 has 274064 (30.8%) zeros Zeros
KBA05_DIESEL has 64600 (7.2%) zeros Zeros
KBA05_HERST1 has 75567 (8.5%) zeros Zeros
KBA05_HERST3 has 16789 (1.9%) zeros Zeros
KBA05_HERST4 has 30739 (3.4%) zeros Zeros
KBA05_HERST5 has 47295 (5.3%) zeros Zeros
KBA05_KW3 has 206843 (23.2%) zeros Zeros
KBA05_MOD1 has 286087 (32.1%) zeros Zeros
KBA05_MOD4 has 50590 (5.7%) zeros Zeros
KBA05_MOD8 has 221889 (24.9%) zeros Zeros
KBA05_MOTRAD has 204268 (22.9%) zeros Zeros
KBA05_SEG1 has 246416 (27.6%) zeros Zeros
KBA05_SEG10 has 111769 (12.5%) zeros Zeros
KBA05_SEG5 has 182816 (20.5%) zeros Zeros
KBA05_SEG6 has 654630 (73.5%) zeros Zeros
KBA05_SEG7 has 368086 (41.3%) zeros Zeros
KBA05_SEG8 has 403849 (45.3%) zeros Zeros
KBA05_SEG9 has 257693 (28.9%) zeros Zeros
KBA05_VORB2 has 54357 (6.1%) zeros Zeros
KBA05_ZUL3 has 71287 (8.0%) zeros Zeros
KBA05_ZUL4 has 105584 (11.8%) zeros Zeros
KBA13_ANTG2 has 10772 (1.2%) zeros Zeros
KBA13_ANTG3 has 134190 (15.1%) zeros Zeros
KBA13_ANTG4 has 380795 (42.7%) zeros Zeros
KBA13_BJ_2008 has 134372 (15.1%) zeros Zeros
KBA13_BJ_2009 has 101115 (11.3%) zeros Zeros
KBA13_CCM_0_1400 has 138711 (15.6%) zeros Zeros
KBA13_CCM_1000 has 103227 (11.6%) zeros Zeros
KBA13_CCM_1200 has 145802 (16.4%) zeros Zeros
KBA13_CCM_1800 has 137534 (15.4%) zeros Zeros
KBA13_CCM_2500 has 95350 (10.7%) zeros Zeros
KBA13_CCM_2501 has 93403 (10.5%) zeros Zeros
KBA13_CCM_3000 has 56562 (6.3%) zeros Zeros
KBA13_KMH_0_140 has 96010 (10.8%) zeros Zeros
KBA13_KMH_211 has 139463 (15.6%) zeros Zeros
KBA13_KMH_250 has 139756 (15.7%) zeros Zeros
KBA13_KRSZUL_NEU has 31337 (3.5%) zeros Zeros
KBA13_KW_110 has 124216 (13.9%) zeros Zeros
KBA13_KW_120 has 85028 (9.5%) zeros Zeros
KBA13_KW_121 has 95195 (10.7%) zeros Zeros
KBA13_KW_40 has 99260 (11.1%) zeros Zeros
KBA13_KW_50 has 143215 (16.1%) zeros Zeros
KBA13_KW_60 has 132144 (14.8%) zeros Zeros
KBA13_KW_70 has 141548 (15.9%) zeros Zeros
KBA13_KW_80 has 129268 (14.5%) zeros Zeros
KBA13_KW_90 has 133326 (15.0%) zeros Zeros
KBA13_SEG_OBERKLASSE has 86270 (9.7%) zeros Zeros
KBA13_SEG_SPORTWAGEN has 83421 (9.4%) zeros Zeros
KBA13_SEG_WOHNMOBILE has 85796 (9.6%) zeros Zeros
KBA13_VORB_3 has 143284 (16.1%) zeros Zeros
KKK has 36868 (4.1%) zeros Zeros
KONSUMZELLE has 609591 (68.4%) zeros Zeros
LP_FAMILIE_FEIN has 72938 (8.2%) zeros Zeros
LP_FAMILIE_GROB has 72938 (8.2%) zeros Zeros
LP_LEBENSPHASE_FEIN has 92778 (10.4%) zeros Zeros
LP_LEBENSPHASE_GROB has 89718 (10.1%) zeros Zeros
NATIONALITAET_KZ has 108315 (12.2%) zeros Zeros
ONLINE_AFFINITAET has 65716 (7.4%) zeros Zeros
PLZ8_ANTG3 has 119794 (13.4%) zeros Zeros
PLZ8_ANTG4 has 356389 (40.0%) zeros Zeros
PRAEGENDE_JUGENDJAHRE has 108164 (12.1%) zeros Zeros
REGIOTYP has 36868 (4.1%) zeros Zeros
RT_UEBERGROESSE has 24758 (2.8%) zeros Zeros
SHOPPER_TYP has 127582 (14.3%) zeros Zeros
SOHO_KZ has 810834 (91.0%) zeros Zeros
TITEL_KZ has 815562 (91.5%) zeros Zeros
UNGLEICHENN_FLAG has 744072 (83.5%) zeros Zeros
VERDICHTUNGSRAUM has 368782 (41.4%) zeros Zeros
VHA has 665547 (74.7%) zeros Zeros
VHN has 36868 (4.1%) zeros Zeros
W_KEIT_KIND_HH has 40386 (4.5%) zeros Zeros

Reproduction

Analysis started2021-05-29 14:53:05.625964
Analysis finished2021-05-29 14:53:22.086451
Duration16.46 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

LNR
Real number (ℝ≥0)

UNIQUE

Distinct891221
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637263
Minimum191653
Maximum1082873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:22.285613image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum191653
5-th percentile236214
Q1414458
median637263
Q3860068
95-th percentile1038312
Maximum1082873
Range891220
Interquartile range (IQR)445610

Descriptive statistics

Standard deviation257273.4865
Coefficient of variation (CV)0.4037163408
Kurtosis-1.2
Mean637263
Median Absolute Deviation (MAD)222805
Skewness-1.551882184 × 10-18
Sum5.679421681 × 1011
Variance6.618964684 × 1010
MonotonicityNot monotonic
2021-05-29T15:53:22.489133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1926061
 
< 0.1%
7454091
 
< 0.1%
5836061
 
< 0.1%
5856551
 
< 0.1%
5631281
 
< 0.1%
5651771
 
< 0.1%
5590341
 
< 0.1%
5610831
 
< 0.1%
5713241
 
< 0.1%
5733731
 
< 0.1%
Other values (891211)891211
> 99.9%
ValueCountFrequency (%)
1916531
< 0.1%
1916541
< 0.1%
1916551
< 0.1%
1916561
< 0.1%
1916571
< 0.1%
ValueCountFrequency (%)
10828731
< 0.1%
10828721
< 0.1%
10828711
< 0.1%
10828701
< 0.1%
10828691
< 0.1%

AGER_TYP
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3584352254
Minimum-1
Maximum3
Zeros8340
Zeros (%)0.9%
Negative677503
Negative (%)76.0%
Memory size6.8 MiB
2021-05-29T15:53:22.664712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile2
Maximum3
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.19872385
Coefficient of variation (CV)-3.344324903
Kurtosis0.7394936621
Mean-0.3584352254
Median Absolute Deviation (MAD)0
Skewness1.524308389
Sum-319445
Variance1.43693887
MonotonicityNot monotonic
2021-05-29T15:53:22.860960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-1677503
76.0%
298472
 
11.0%
179802
 
9.0%
327104
 
3.0%
08340
 
0.9%
ValueCountFrequency (%)
-1677503
76.0%
08340
 
0.9%
179802
 
9.0%
298472
 
11.0%
327104
 
3.0%
ValueCountFrequency (%)
327104
 
3.0%
298472
 
11.0%
179802
 
9.0%
08340
 
0.9%
-1677503
76.0%

AKT_DAT_KL
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean4.421928235
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:23.041815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.638805141
Coefficient of variation (CV)0.8229000896
Kurtosis-1.765419122
Mean4.421928235
Median Absolute Deviation (MAD)2
Skewness0.2873452378
Sum3615908
Variance13.24090285
MonotonicityNot monotonic
2021-05-29T15:53:23.179000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1390258
43.8%
9270663
30.4%
529203
 
3.3%
627655
 
3.1%
324880
 
2.8%
421466
 
2.4%
721026
 
2.4%
817485
 
2.0%
215086
 
1.7%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
1390258
43.8%
215086
 
1.7%
324880
 
2.8%
421466
 
2.4%
529203
 
3.3%
ValueCountFrequency (%)
9270663
30.4%
817485
 
2.0%
721026
 
2.4%
627655
 
3.1%
529203
 
3.3%

ALTER_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct22
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean10.86412619
Minimum0
Maximum21
Zeros236768
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:23.346294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q317
95-th percentile21
Maximum21
Range21
Interquartile range (IQR)17

Descriptive statistics

Standard deviation7.639683284
Coefficient of variation (CV)0.7032027378
Kurtosis-1.364928569
Mean10.86412619
Median Absolute Deviation (MAD)5
Skewness-0.4258583512
Sum8883835
Variance58.36476068
MonotonicityNot monotonic
2021-05-29T15:53:23.552590image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0236768
26.6%
1860852
 
6.8%
1755665
 
6.2%
1952890
 
5.9%
1551867
 
5.8%
1651857
 
5.8%
1444275
 
5.0%
2141610
 
4.7%
2040671
 
4.6%
1337612
 
4.2%
Other values (12)143655
16.1%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
0236768
26.6%
11
 
< 0.1%
247
 
< 0.1%
3200
 
< 0.1%
4603
 
0.1%
ValueCountFrequency (%)
2141610
4.7%
2040671
4.6%
1952890
5.9%
1860852
6.8%
1755665
6.2%

ALTER_KIND1
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)< 0.1%
Missing810163
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean11.74539219
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:23.700412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q18
median12
Q315
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.097660168
Coefficient of variation (CV)0.3488738479
Kurtosis-1.03258355
Mean11.74539219
Median Absolute Deviation (MAD)4
Skewness-0.1435969542
Sum952058
Variance16.79081886
MonotonicityNot monotonic
2021-05-29T15:53:23.890123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
186703
 
0.8%
176394
 
0.7%
86343
 
0.7%
76249
 
0.7%
166124
 
0.7%
156008
 
0.7%
145992
 
0.7%
95846
 
0.7%
135713
 
0.6%
105678
 
0.6%
Other values (7)20008
 
2.2%
(Missing)810163
90.9%
ValueCountFrequency (%)
2403
 
< 0.1%
31063
 
0.1%
41084
 
0.1%
51501
 
0.2%
64875
0.5%
ValueCountFrequency (%)
186703
0.8%
176394
0.7%
166124
0.7%
156008
0.7%
145992
0.7%

ALTER_KIND2
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.1%
Missing861722
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean13.40265772
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:24.032984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q111
median14
Q316
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.243299584
Coefficient of variation (CV)0.2419892869
Kurtosis-0.6028118253
Mean13.40265772
Median Absolute Deviation (MAD)2
Skewness-0.4232316077
Sum395365
Variance10.51899219
MonotonicityNot monotonic
2021-05-29T15:53:24.185964image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
183128
 
0.4%
143111
 
0.3%
173085
 
0.3%
153083
 
0.3%
163010
 
0.3%
132968
 
0.3%
122628
 
0.3%
112450
 
0.3%
101953
 
0.2%
91641
 
0.2%
Other values (7)2442
 
0.3%
(Missing)861722
96.7%
ValueCountFrequency (%)
24
 
< 0.1%
315
 
< 0.1%
467
 
< 0.1%
5154
 
< 0.1%
6396
< 0.1%
ValueCountFrequency (%)
183128
0.4%
173085
0.3%
163010
0.3%
153083
0.3%
143111
0.3%

ALTER_KIND3
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.2%
Missing885051
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean14.47601297
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:24.313916image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9
Q113
median15
Q317
95-th percentile18
Maximum18
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.712427345
Coefficient of variation (CV)0.1873739235
Kurtosis-0.05238128374
Mean14.47601297
Median Absolute Deviation (MAD)2
Skewness-0.6787809182
Sum89317
Variance7.357262104
MonotonicityNot monotonic
2021-05-29T15:53:24.443400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
18866
 
0.1%
15847
 
0.1%
16841
 
0.1%
17826
 
0.1%
14746
 
0.1%
13674
 
0.1%
12438
 
< 0.1%
11363
 
< 0.1%
10237
 
< 0.1%
9159
 
< 0.1%
Other values (5)173
 
< 0.1%
(Missing)885051
99.3%
ValueCountFrequency (%)
42
 
< 0.1%
58
 
< 0.1%
621
 
< 0.1%
740
 
< 0.1%
8102
< 0.1%
ValueCountFrequency (%)
18866
0.1%
17826
0.1%
16841
0.1%
15847
0.1%
14746
0.1%

ALTER_KIND4
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)1.0%
Missing890016
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean15.08962656
Minimum7
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:24.690829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q114
median15
Q317
95-th percentile18
Maximum18
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.452932399
Coefficient of variation (CV)0.1625575285
Kurtosis-0.04864460676
Mean15.08962656
Median Absolute Deviation (MAD)2
Skewness-0.7730811365
Sum18183
Variance6.016877352
MonotonicityNot monotonic
2021-05-29T15:53:24.834760image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
17225
 
< 0.1%
18216
 
< 0.1%
15171
 
< 0.1%
16159
 
< 0.1%
14136
 
< 0.1%
13119
 
< 0.1%
1259
 
< 0.1%
1148
 
< 0.1%
1042
 
< 0.1%
915
 
< 0.1%
Other values (2)15
 
< 0.1%
(Missing)890016
99.9%
ValueCountFrequency (%)
71
 
< 0.1%
814
 
< 0.1%
915
 
< 0.1%
1042
< 0.1%
1148
< 0.1%
ValueCountFrequency (%)
18216
< 0.1%
17225
< 0.1%
16159
< 0.1%
15171
< 0.1%
14136
< 0.1%

ALTERSKATEGORIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct26
Distinct (%)< 0.1%
Missing262947
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean13.70071657
Minimum0
Maximum25
Zeros41188
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:24.991877image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median14
Q317
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.079849415
Coefficient of variation (CV)0.3707725352
Kurtosis1.198872173
Mean13.70071657
Median Absolute Deviation (MAD)3
Skewness-1.047231753
Sum8607804
Variance25.80487008
MonotonicityNot monotonic
2021-05-29T15:53:25.147671image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1563486
 
7.1%
1459709
 
6.7%
1653384
 
6.0%
1851365
 
5.8%
1750011
 
5.6%
1349556
 
5.6%
1242951
 
4.8%
1942340
 
4.8%
041188
 
4.6%
1034903
 
3.9%
Other values (16)139381
15.6%
(Missing)262947
29.5%
ValueCountFrequency (%)
041188
4.6%
11
 
< 0.1%
264
 
< 0.1%
3218
 
< 0.1%
4636
 
0.1%
ValueCountFrequency (%)
251017
 
0.1%
242340
 
0.3%
232838
 
0.3%
223669
 
0.4%
2113658
1.5%

ANZ_HAUSHALTE_AKTIV
Real number (ℝ≥0)

MISSING

Distinct292
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean8.287263195
Minimum0
Maximum595
Zeros6463
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:25.283257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median4
Q39
95-th percentile28
Maximum595
Range595
Interquartile range (IQR)8

Descriptive statistics

Standard deviation15.62808702
Coefficient of variation (CV)1.885795907
Kurtosis142.6179559
Mean8.287263195
Median Absolute Deviation (MAD)3
Skewness8.779951735
Sum6613841
Variance244.2371038
MonotonicityNot monotonic
2021-05-29T15:53:25.544092image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1195957
22.0%
2120982
13.6%
362575
 
7.0%
443213
 
4.8%
537815
 
4.2%
636020
 
4.0%
734526
 
3.9%
832293
 
3.6%
929002
 
3.3%
1025428
 
2.9%
Other values (282)180262
20.2%
(Missing)93148
10.5%
ValueCountFrequency (%)
06463
 
0.7%
1195957
22.0%
2120982
13.6%
362575
 
7.0%
443213
 
4.8%
ValueCountFrequency (%)
5958
< 0.1%
5361
 
< 0.1%
5234
< 0.1%
5154
< 0.1%
4457
< 0.1%

ANZ_HH_TITEL
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing97008
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean0.04064652681
Minimum0
Maximum23
Zeros770244
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:25.704431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3240284646
Coefficient of variation (CV)7.971861066
Kurtosis894.8859324
Mean0.04064652681
Median Absolute Deviation (MAD)0
Skewness22.71869357
Sum32282
Variance0.1049944458
MonotonicityNot monotonic
2021-05-29T15:53:25.859327image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0770244
86.4%
120157
 
2.3%
22459
 
0.3%
3585
 
0.1%
4232
 
< 0.1%
5117
 
< 0.1%
6106
 
< 0.1%
868
 
< 0.1%
765
 
< 0.1%
934
 
< 0.1%
Other values (11)146
 
< 0.1%
(Missing)97008
 
10.9%
ValueCountFrequency (%)
0770244
86.4%
120157
 
2.3%
22459
 
0.3%
3585
 
0.1%
4232
 
< 0.1%
ValueCountFrequency (%)
233
 
< 0.1%
209
< 0.1%
186
< 0.1%
1713
< 0.1%
163
 
< 0.1%

ANZ_KINDER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.1540181137
Minimum0
Maximum11
Zeros731242
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:25.985542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5023888664
Coefficient of variation (CV)3.261881698
Kurtosis18.38960401
Mean0.1540181137
Median Absolute Deviation (MAD)0
Skewness3.922593655
Sum125944
Variance0.2523945731
MonotonicityNot monotonic
2021-05-29T15:53:26.096969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0731242
82.0%
155350
 
6.2%
224445
 
2.7%
35376
 
0.6%
41057
 
0.1%
5190
 
< 0.1%
647
 
< 0.1%
710
 
< 0.1%
93
 
< 0.1%
81
 
< 0.1%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
0731242
82.0%
155350
 
6.2%
224445
 
2.7%
35376
 
0.6%
41057
 
0.1%
ValueCountFrequency (%)
111
 
< 0.1%
93
 
< 0.1%
81
 
< 0.1%
710
 
< 0.1%
647
< 0.1%

ANZ_PERSONEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean1.727637265
Minimum0
Maximum45
Zeros34103
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:26.243375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum45
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.155849337
Coefficient of variation (CV)0.6690347329
Kurtosis14.44942207
Mean1.727637265
Median Absolute Deviation (MAD)0
Skewness1.875265299
Sum1412727
Variance1.335987689
MonotonicityNot monotonic
2021-05-29T15:53:26.434119image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1423383
47.5%
2195470
21.9%
394905
 
10.6%
447126
 
5.3%
034103
 
3.8%
515503
 
1.7%
64842
 
0.5%
71525
 
0.2%
8523
 
0.1%
9180
 
< 0.1%
Other values (20)162
 
< 0.1%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
034103
 
3.8%
1423383
47.5%
2195470
21.9%
394905
 
10.6%
447126
 
5.3%
ValueCountFrequency (%)
451
< 0.1%
401
< 0.1%
382
< 0.1%
372
< 0.1%
351
< 0.1%

ANZ_STATISTISCHE_HAUSHALTE
Real number (ℝ≥0)

MISSING

Distinct268
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean7.599356199
Minimum0
Maximum449
Zeros43
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:26.605154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q39
95-th percentile26
Maximum449
Range449
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.33220143
Coefficient of variation (CV)1.88597574
Kurtosis126.886353
Mean7.599356199
Median Absolute Deviation (MAD)2
Skewness8.514017811
Sum6064841
Variance205.4119979
MonotonicityNot monotonic
2021-05-29T15:53:26.846471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1219119
24.6%
2121485
13.6%
361478
 
6.9%
444864
 
5.0%
540133
 
4.5%
638466
 
4.3%
736589
 
4.1%
832816
 
3.7%
928500
 
3.2%
1024100
 
2.7%
Other values (258)150523
16.9%
(Missing)93148
10.5%
ValueCountFrequency (%)
043
 
< 0.1%
1219119
24.6%
2121485
13.6%
361478
 
6.9%
444864
 
5.0%
ValueCountFrequency (%)
4493
 
< 0.1%
4457
< 0.1%
3756
< 0.1%
3713
 
< 0.1%
3699
< 0.1%

ANZ_TITEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.00416156102
Minimum0
Maximum6
Zeros814542
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:27.019753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06885512372
Coefficient of variation (CV)16.54550381
Kurtosis450.2677478
Mean0.00416156102
Median Absolute Deviation (MAD)0
Skewness18.79279598
Sum3403
Variance0.004741028062
MonotonicityNot monotonic
2021-05-29T15:53:27.208017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0814542
91.4%
12970
 
0.3%
2202
 
< 0.1%
35
 
< 0.1%
42
 
< 0.1%
61
 
< 0.1%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
0814542
91.4%
12970
 
0.3%
2202
 
< 0.1%
35
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
42
 
< 0.1%
35
 
< 0.1%
2202
 
< 0.1%
12970
0.3%

ARBEIT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.167854107
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:27.315576image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0023762
Coefficient of variation (CV)0.3164212008
Kurtosis-0.2117945621
Mean3.167854107
Median Absolute Deviation (MAD)1
Skewness-0.4612907983
Sum2515292
Variance1.004758047
MonotonicityNot monotonic
2021-05-29T15:53:27.428353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4311339
34.9%
3254988
28.6%
2135662
15.2%
156767
 
6.4%
535090
 
3.9%
9159
 
< 0.1%
(Missing)97216
 
10.9%
ValueCountFrequency (%)
156767
 
6.4%
2135662
15.2%
3254988
28.6%
4311339
34.9%
535090
 
3.9%
ValueCountFrequency (%)
9159
 
< 0.1%
535090
 
3.9%
4311339
34.9%
3254988
28.6%
2135662
15.2%

BALLRAUM
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.153043145
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:27.546315image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.183709883
Coefficient of variation (CV)0.5258095827
Kurtosis-1.517783243
Mean4.153043145
Median Absolute Deviation (MAD)2
Skewness-0.2395397181
Sum3311973
Variance4.768588851
MonotonicityNot monotonic
2021-05-29T15:53:27.650166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6255093
28.6%
1151782
17.0%
2104521
11.7%
799039
 
11.1%
373277
 
8.2%
461358
 
6.9%
552411
 
5.9%
(Missing)93740
 
10.5%
ValueCountFrequency (%)
1151782
17.0%
2104521
11.7%
373277
8.2%
461358
6.9%
552411
 
5.9%
ValueCountFrequency (%)
799039
 
11.1%
6255093
28.6%
552411
 
5.9%
461358
 
6.9%
373277
 
8.2%

CAMEO_DEU_2015
Categorical

MISSING

Distinct45
Distinct (%)< 0.1%
Missing98979
Missing (%)11.1%
Memory size6.8 MiB
6B
56672 
8A
 
52438
4C
 
47819
2D
 
35074
3C
 
34769
Other values (40)
565470 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8A
2nd row4C
3rd row2A
4th row6B
5th row8C

Common Values

ValueCountFrequency (%)
6B56672
 
6.4%
8A52438
 
5.9%
4C47819
 
5.4%
2D35074
 
3.9%
3C34769
 
3.9%
7A34399
 
3.9%
3D34307
 
3.8%
8B33434
 
3.8%
4A33155
 
3.7%
8C30993
 
3.5%
Other values (35)399182
44.8%
(Missing)98979
 
11.1%

CAMEO_DEUG_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing98979
Missing (%)11.1%
Memory size6.8 MiB

CAMEO_INTL_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing98979
Missing (%)11.1%
Memory size6.8 MiB

CJT_GESAMTTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.632838316
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:27.956311image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.595021092
Coefficient of variation (CV)0.4390564493
Kurtosis-1.068626824
Mean3.632838316
Median Absolute Deviation (MAD)1
Skewness-0.03888466953
Sum3220028
Variance2.544092284
MonotonicityNot monotonic
2021-05-29T15:53:28.276310image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4210963
23.7%
3156449
17.6%
6153915
17.3%
2148795
16.7%
5117376
13.2%
198869
11.1%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
198869
11.1%
2148795
16.7%
3156449
17.6%
4210963
23.7%
5117376
13.2%
ValueCountFrequency (%)
6153915
17.3%
5117376
13.2%
4210963
23.7%
3156449
17.6%
2148795
16.7%

CJT_KATALOGNUTZER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.335264061
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:28.378400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493633238
Coefficient of variation (CV)0.4478305797
Kurtosis-1.296240559
Mean3.335264061
Median Absolute Deviation (MAD)1
Skewness-0.3517296555
Sum2956268
Variance2.230940249
MonotonicityNot monotonic
2021-05-29T15:53:28.489897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5281804
31.6%
4174275
19.6%
1167426
18.8%
3156998
17.6%
2105864
 
11.9%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1167426
18.8%
2105864
 
11.9%
3156998
17.6%
4174275
19.6%
5281804
31.6%
ValueCountFrequency (%)
5281804
31.6%
4174275
19.6%
3156998
17.6%
2105864
 
11.9%
1167426
18.8%

CJT_TYP_1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.36808568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:28.596636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.368331134
Coefficient of variation (CV)0.4062637545
Kurtosis-1.272365653
Mean3.36808568
Median Absolute Deviation (MAD)1
Skewness-0.20738815
Sum2985360
Variance1.872330092
MonotonicityNot monotonic
2021-05-29T15:53:28.729093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5267488
30.0%
2196545
22.1%
3171838
19.3%
4162940
18.3%
187556
 
9.8%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
187556
 
9.8%
2196545
22.1%
3171838
19.3%
4162940
18.3%
5267488
30.0%
ValueCountFrequency (%)
5267488
30.0%
4162940
18.3%
3171838
19.3%
2196545
22.1%
187556
 
9.8%

CJT_TYP_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.195014029
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:28.895803image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.401382044
Coefficient of variation (CV)0.4386153023
Kurtosis-1.314657968
Mean3.195014029
Median Absolute Deviation (MAD)1
Skewness-0.07231544082
Sum2831955
Variance1.963871634
MonotonicityNot monotonic
2021-05-29T15:53:29.011423image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5233302
26.2%
2205425
23.0%
3173910
19.5%
4153045
17.2%
1120685
13.5%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1120685
13.5%
2205425
23.0%
3173910
19.5%
4153045
17.2%
5233302
26.2%
ValueCountFrequency (%)
5233302
26.2%
4153045
17.2%
3173910
19.5%
2205425
23.0%
1120685
13.5%

CJT_TYP_3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.351290154
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:29.113641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39650818
Coefficient of variation (CV)0.4167076308
Kurtosis-1.277899908
Mean3.351290154
Median Absolute Deviation (MAD)1
Skewness-0.2281159196
Sum2970473
Variance1.950235097
MonotonicityNot monotonic
2021-05-29T15:53:29.223774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5270143
30.3%
2181803
20.4%
3170162
19.1%
4160469
18.0%
1103790
 
11.6%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1103790
 
11.6%
2181803
20.4%
3170162
19.1%
4160469
18.0%
5270143
30.3%
ValueCountFrequency (%)
5270143
30.3%
4160469
18.0%
3170162
19.1%
2181803
20.4%
1103790
 
11.6%

CJT_TYP_4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.336150827
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:29.344554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.373077074
Coefficient of variation (CV)0.4115752392
Kurtosis-1.236298353
Mean3.336150827
Median Absolute Deviation (MAD)1
Skewness-0.2159554074
Sum2957054
Variance1.885340652
MonotonicityNot monotonic
2021-05-29T15:53:29.521656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5254763
28.6%
3180975
20.3%
2180312
20.2%
4169791
19.1%
1100526
 
11.3%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1100526
 
11.3%
2180312
20.2%
3180975
20.3%
4169791
19.1%
5254763
28.6%
ValueCountFrequency (%)
5254763
28.6%
4169791
19.1%
3180975
20.3%
2180312
20.2%
1100526
 
11.3%

CJT_TYP_5
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.360683554
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:29.676873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.378991926
Coefficient of variation (CV)0.4103307865
Kurtosis-1.242384739
Mean3.360683554
Median Absolute Deviation (MAD)1
Skewness-0.2167781689
Sum2978799
Variance1.901618732
MonotonicityNot monotonic
2021-05-29T15:53:29.885333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5271673
30.5%
3194636
21.8%
2174808
19.6%
4147220
16.5%
198030
 
11.0%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
198030
 
11.0%
2174808
19.6%
3194636
21.8%
4147220
16.5%
5271673
30.5%
ValueCountFrequency (%)
5271673
30.5%
4147220
16.5%
3194636
21.8%
2174808
19.6%
198030
 
11.0%

CJT_TYP_6
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.465979668
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:30.048590image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.3284557
Coefficient of variation (CV)0.3832843316
Kurtosis-1.150027223
Mean3.465979668
Median Absolute Deviation (MAD)1
Skewness-0.326775854
Sum3072130
Variance1.764794547
MonotonicityNot monotonic
2021-05-29T15:53:30.183731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5272208
30.5%
4193430
21.7%
2175179
19.7%
3170731
19.2%
174819
 
8.4%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
174819
 
8.4%
2175179
19.7%
3170731
19.2%
4193430
21.7%
5272208
30.5%
ValueCountFrequency (%)
5272208
30.5%
4193430
21.7%
3170731
19.2%
2175179
19.7%
174819
 
8.4%

D19_BANKEN_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1223355374
Minimum0
Maximum6
Zeros831734
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:30.345077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.535949819
Coefficient of variation (CV)4.380982258
Kurtosis35.68955582
Mean0.1223355374
Median Absolute Deviation (MAD)0
Skewness5.544272367
Sum109028
Variance0.2872422085
MonotonicityNot monotonic
2021-05-29T15:53:30.544879image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0831734
93.3%
129771
 
3.3%
218067
 
2.0%
35708
 
0.6%
44082
 
0.5%
51483
 
0.2%
6376
 
< 0.1%
ValueCountFrequency (%)
0831734
93.3%
129771
 
3.3%
218067
 
2.0%
35708
 
0.6%
44082
 
0.5%
ValueCountFrequency (%)
6376
 
< 0.1%
51483
 
0.2%
44082
 
0.5%
35708
 
0.6%
218067
2.0%

D19_BANKEN_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2199072957
Minimum0
Maximum6
Zeros794100
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:30.725361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7479025591
Coefficient of variation (CV)3.400990206
Kurtosis19.49388354
Mean0.2199072957
Median Absolute Deviation (MAD)0
Skewness4.197355628
Sum195986
Variance0.5593582379
MonotonicityNot monotonic
2021-05-29T15:53:30.863592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0794100
89.1%
143554
 
4.9%
229079
 
3.3%
310214
 
1.1%
49041
 
1.0%
53930
 
0.4%
61303
 
0.1%
ValueCountFrequency (%)
0794100
89.1%
143554
 
4.9%
229079
 
3.3%
310214
 
1.1%
49041
 
1.0%
ValueCountFrequency (%)
61303
 
0.1%
53930
 
0.4%
49041
 
1.0%
310214
 
1.1%
229079
3.3%

D19_BANKEN_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.267419641
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:30.998487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.735724547
Coefficient of variation (CV)0.1872931856
Kurtosis7.988738678
Mean9.267419641
Median Absolute Deviation (MAD)0
Skewness-2.850510488
Sum8259319
Variance3.012739702
MonotonicityNot monotonic
2021-05-29T15:53:31.157364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10678331
76.1%
982707
 
9.3%
833062
 
3.7%
529494
 
3.3%
720482
 
2.3%
617152
 
1.9%
18495
 
1.0%
48406
 
0.9%
28001
 
0.9%
35091
 
0.6%
ValueCountFrequency (%)
18495
 
1.0%
28001
 
0.9%
35091
 
0.6%
48406
 
0.9%
529494
3.3%
ValueCountFrequency (%)
10678331
76.1%
982707
 
9.3%
833062
 
3.7%
720482
 
2.3%
617152
 
1.9%

D19_BANKEN_DIREKT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8927347987
Minimum0
Maximum7
Zeros728811
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:31.283027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.011837672
Coefficient of variation (CV)2.253566989
Kurtosis2.168067482
Mean0.8927347987
Median Absolute Deviation (MAD)0
Skewness1.975549613
Sum795624
Variance4.04749082
MonotonicityNot monotonic
2021-05-29T15:53:31.467435image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0728811
81.8%
684798
 
9.5%
327350
 
3.1%
518539
 
2.1%
48771
 
1.0%
28119
 
0.9%
77656
 
0.9%
17177
 
0.8%
ValueCountFrequency (%)
0728811
81.8%
17177
 
0.8%
28119
 
0.9%
327350
 
3.1%
48771
 
1.0%
ValueCountFrequency (%)
77656
 
0.9%
684798
9.5%
518539
 
2.1%
48771
 
1.0%
327350
 
3.1%

D19_BANKEN_GROSS
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5685795106
Minimum0
Maximum6
Zeros785351
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:31.643110image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.643763602
Coefficient of variation (CV)2.891000417
Kurtosis5.732380031
Mean0.5685795106
Median Absolute Deviation (MAD)0
Skewness2.72238652
Sum506730
Variance2.701958781
MonotonicityNot monotonic
2021-05-29T15:53:31.811797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0785351
88.1%
657103
 
6.4%
314862
 
1.7%
513911
 
1.6%
48165
 
0.9%
16347
 
0.7%
25482
 
0.6%
ValueCountFrequency (%)
0785351
88.1%
16347
 
0.7%
25482
 
0.6%
314862
 
1.7%
48165
 
0.9%
ValueCountFrequency (%)
657103
6.4%
513911
 
1.6%
48165
 
0.9%
314862
 
1.7%
25482
 
0.6%

D19_BANKEN_LOKAL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1067692525
Minimum0
Maximum7
Zeros874745
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:31.985453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8081790634
Coefficient of variation (CV)7.569398907
Kurtosis60.04532759
Mean0.1067692525
Median Absolute Deviation (MAD)0
Skewness7.777010935
Sum95155
Variance0.6531533985
MonotonicityNot monotonic
2021-05-29T15:53:32.145841image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0874745
98.2%
78522
 
1.0%
33500
 
0.4%
63202
 
0.4%
51053
 
0.1%
2118
 
< 0.1%
469
 
< 0.1%
112
 
< 0.1%
ValueCountFrequency (%)
0874745
98.2%
112
 
< 0.1%
2118
 
< 0.1%
33500
 
0.4%
469
 
< 0.1%
ValueCountFrequency (%)
78522
1.0%
63202
 
0.4%
51053
 
0.1%
469
 
< 0.1%
33500
0.4%

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.926793691
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:32.293775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6056413659
Coefficient of variation (CV)0.06101077394
Kurtosis117.0672592
Mean9.926793691
Median Absolute Deviation (MAD)0
Skewness-10.30930608
Sum8846967
Variance0.366801464
MonotonicityNot monotonic
2021-05-29T15:53:32.431821image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10871535
97.8%
86451
 
0.7%
95297
 
0.6%
54177
 
0.5%
22058
 
0.2%
6509
 
0.1%
1476
 
0.1%
7335
 
< 0.1%
4311
 
< 0.1%
372
 
< 0.1%
ValueCountFrequency (%)
1476
 
0.1%
22058
0.2%
372
 
< 0.1%
4311
 
< 0.1%
54177
0.5%
ValueCountFrequency (%)
10871535
97.8%
95297
 
0.6%
86451
 
0.7%
7335
 
< 0.1%
6509
 
0.1%

D19_BANKEN_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.439072912
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:32.596243image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.54777343
Coefficient of variation (CV)0.1639751535
Kurtosis11.67298613
Mean9.439072912
Median Absolute Deviation (MAD)0
Skewness-3.372331244
Sum8412300
Variance2.395602589
MonotonicityNot monotonic
2021-05-29T15:53:32.795383image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10726982
81.6%
966077
 
7.4%
822939
 
2.6%
522124
 
2.5%
716321
 
1.8%
613668
 
1.5%
16917
 
0.8%
46869
 
0.8%
24965
 
0.6%
34359
 
0.5%
ValueCountFrequency (%)
16917
 
0.8%
24965
 
0.6%
34359
 
0.5%
46869
 
0.8%
522124
2.5%
ValueCountFrequency (%)
10726982
81.6%
966077
 
7.4%
822939
 
2.6%
716321
 
1.8%
613668
 
1.5%

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.7052205618
Minimum0
Maximum10
Zeros588874
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:32.943201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.552707473
Coefficient of variation (CV)3.619729219
Kurtosis9.269283652
Mean0.7052205618
Median Absolute Deviation (MAD)0
Skewness3.354041234
Sum447186
Variance6.516315445
MonotonicityNot monotonic
2021-05-29T15:53:33.080307image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0588874
66.1%
1044065
 
4.9%
5391
 
< 0.1%
3220
 
< 0.1%
7214
 
< 0.1%
8172
 
< 0.1%
967
 
< 0.1%
650
 
< 0.1%
235
 
< 0.1%
418
 
< 0.1%
(Missing)257113
28.8%
ValueCountFrequency (%)
0588874
66.1%
12
 
< 0.1%
235
 
< 0.1%
3220
 
< 0.1%
418
 
< 0.1%
ValueCountFrequency (%)
1044065
4.9%
967
 
< 0.1%
8172
 
< 0.1%
7214
 
< 0.1%
650
 
< 0.1%

D19_BANKEN_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4256452664
Minimum0
Maximum7
Zeros821760
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:33.199194image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.510782005
Coefficient of variation (CV)3.549392239
Kurtosis9.772301708
Mean0.4256452664
Median Absolute Deviation (MAD)0
Skewness3.389116791
Sum379344
Variance2.282462268
MonotonicityNot monotonic
2021-05-29T15:53:33.640015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0821760
92.2%
643143
 
4.8%
57744
 
0.9%
77339
 
0.8%
35943
 
0.7%
22928
 
0.3%
41448
 
0.2%
1916
 
0.1%
ValueCountFrequency (%)
0821760
92.2%
1916
 
0.1%
22928
 
0.3%
35943
 
0.7%
41448
 
0.2%
ValueCountFrequency (%)
77339
 
0.8%
643143
4.8%
57744
 
0.9%
41448
 
0.2%
35943
 
0.7%

D19_BEKLEIDUNG_GEH
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4678693612
Minimum0
Maximum7
Zeros809304
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:33.822837image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.542150743
Coefficient of variation (CV)3.296113981
Kurtosis8.575243035
Mean0.4678693612
Median Absolute Deviation (MAD)0
Skewness3.183221612
Sum416975
Variance2.378228914
MonotonicityNot monotonic
2021-05-29T15:53:33.987482image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0809304
90.8%
639392
 
4.4%
315239
 
1.7%
511899
 
1.3%
78478
 
1.0%
23117
 
0.3%
42013
 
0.2%
11779
 
0.2%
ValueCountFrequency (%)
0809304
90.8%
11779
 
0.2%
23117
 
0.3%
315239
 
1.7%
42013
 
0.2%
ValueCountFrequency (%)
78478
 
1.0%
639392
4.4%
511899
 
1.3%
42013
 
0.2%
315239
 
1.7%

D19_BEKLEIDUNG_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.145516095
Minimum0
Maximum7
Zeros692502
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:34.134994image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.266998592
Coefficient of variation (CV)1.979019414
Kurtosis0.8072089987
Mean1.145516095
Median Absolute Deviation (MAD)0
Skewness1.613705085
Sum1020908
Variance5.139282617
MonotonicityNot monotonic
2021-05-29T15:53:34.362850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0692502
77.7%
6109025
 
12.2%
330201
 
3.4%
719637
 
2.2%
518554
 
2.1%
28748
 
1.0%
17262
 
0.8%
45292
 
0.6%
ValueCountFrequency (%)
0692502
77.7%
17262
 
0.8%
28748
 
1.0%
330201
 
3.4%
45292
 
0.6%
ValueCountFrequency (%)
719637
 
2.2%
6109025
12.2%
518554
 
2.1%
45292
 
0.6%
330201
 
3.4%

D19_BILDUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4855080839
Minimum0
Maximum7
Zeros813156
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:34.592205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.639339895
Coefficient of variation (CV)3.376545004
Kurtosis8.789013383
Mean0.4855080839
Median Absolute Deviation (MAD)0
Skewness3.236373733
Sum432695
Variance2.687435291
MonotonicityNot monotonic
2021-05-29T15:53:34.780559image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0813156
91.2%
637502
 
4.2%
721828
 
2.4%
28582
 
1.0%
35127
 
0.6%
53363
 
0.4%
41288
 
0.1%
1375
 
< 0.1%
ValueCountFrequency (%)
0813156
91.2%
1375
 
< 0.1%
28582
 
1.0%
35127
 
0.6%
41288
 
0.1%
ValueCountFrequency (%)
721828
2.4%
637502
4.2%
53363
 
0.4%
41288
 
0.1%
35127
 
0.6%

D19_BIO_OEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2579382667
Minimum0
Maximum7
Zeros854074
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:34.944273image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.252328077
Coefficient of variation (CV)4.855146514
Kurtosis20.70782897
Mean0.2579382667
Median Absolute Deviation (MAD)0
Skewness4.732438138
Sum229880
Variance1.568325611
MonotonicityNot monotonic
2021-05-29T15:53:35.110502image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0854074
95.8%
617732
 
2.0%
715241
 
1.7%
52121
 
0.2%
31926
 
0.2%
483
 
< 0.1%
242
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
0854074
95.8%
12
 
< 0.1%
242
 
< 0.1%
31926
 
0.2%
483
 
< 0.1%
ValueCountFrequency (%)
715241
1.7%
617732
2.0%
52121
 
0.2%
483
 
< 0.1%
31926
 
0.2%

D19_BUCH_CD
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.585404742
Minimum0
Maximum7
Zeros622788
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:35.266490image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.547925475
Coefficient of variation (CV)1.60711357
Kurtosis-0.721059398
Mean1.585404742
Median Absolute Deviation (MAD)0
Skewness1.081502492
Sum1412946
Variance6.491924228
MonotonicityNot monotonic
2021-05-29T15:53:35.486600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0622788
69.9%
6188263
 
21.1%
326192
 
2.9%
515900
 
1.8%
111735
 
1.3%
29187
 
1.0%
78853
 
1.0%
48303
 
0.9%
ValueCountFrequency (%)
0622788
69.9%
111735
 
1.3%
29187
 
1.0%
326192
 
2.9%
48303
 
0.9%
ValueCountFrequency (%)
78853
 
1.0%
6188263
21.1%
515900
 
1.8%
48303
 
0.9%
326192
 
2.9%

D19_DIGIT_SERV
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1967458128
Minimum0
Maximum7
Zeros857661
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:35.658298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.036761626
Coefficient of variation (CV)5.269548618
Kurtosis27.29309336
Mean0.1967458128
Median Absolute Deviation (MAD)0
Skewness5.331820494
Sum175344
Variance1.074874669
MonotonicityNot monotonic
2021-05-29T15:53:35.855424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0857661
96.2%
617942
 
2.0%
36153
 
0.7%
74030
 
0.5%
53225
 
0.4%
21293
 
0.1%
4465
 
0.1%
1452
 
0.1%
ValueCountFrequency (%)
0857661
96.2%
1452
 
0.1%
21293
 
0.1%
36153
 
0.7%
4465
 
0.1%
ValueCountFrequency (%)
74030
 
0.5%
617942
2.0%
53225
 
0.4%
4465
 
0.1%
36153
 
0.7%

D19_DROGERIEARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6732920342
Minimum0
Maximum7
Zeros761014
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:36.019783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.752757614
Coefficient of variation (CV)2.603265039
Kurtosis4.475394192
Mean0.6732920342
Median Absolute Deviation (MAD)0
Skewness2.4550082
Sum600052
Variance3.072159252
MonotonicityNot monotonic
2021-05-29T15:53:36.161395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0761014
85.4%
652060
 
5.8%
324763
 
2.8%
517548
 
2.0%
410951
 
1.2%
29928
 
1.1%
77841
 
0.9%
17116
 
0.8%
ValueCountFrequency (%)
0761014
85.4%
17116
 
0.8%
29928
 
1.1%
324763
 
2.8%
410951
 
1.2%
ValueCountFrequency (%)
77841
 
0.9%
652060
5.8%
517548
 
2.0%
410951
 
1.2%
324763
2.8%

D19_ENERGIE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3468544839
Minimum0
Maximum7
Zeros829857
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:36.263975image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.337269246
Coefficient of variation (CV)3.855418649
Kurtosis13.41220687
Mean0.3468544839
Median Absolute Deviation (MAD)0
Skewness3.838273892
Sum309124
Variance1.788289036
MonotonicityNot monotonic
2021-05-29T15:53:36.400249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0829857
93.1%
625788
 
2.9%
314572
 
1.6%
59556
 
1.1%
77655
 
0.9%
21967
 
0.2%
41185
 
0.1%
1641
 
0.1%
ValueCountFrequency (%)
0829857
93.1%
1641
 
0.1%
21967
 
0.2%
314572
 
1.6%
41185
 
0.1%
ValueCountFrequency (%)
77655
 
0.9%
625788
2.9%
59556
 
1.1%
41185
 
0.1%
314572
1.6%

D19_FREIZEIT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5906784064
Minimum0
Maximum7
Zeros790748
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:36.524570image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721602058
Coefficient of variation (CV)2.914618242
Kurtosis5.660377566
Mean0.5906784064
Median Absolute Deviation (MAD)0
Skewness2.712950351
Sum526425
Variance2.963913646
MonotonicityNot monotonic
2021-05-29T15:53:36.672524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0790748
88.7%
655056
 
6.2%
315297
 
1.7%
513587
 
1.5%
78514
 
1.0%
43990
 
0.4%
22676
 
0.3%
11353
 
0.2%
ValueCountFrequency (%)
0790748
88.7%
11353
 
0.2%
22676
 
0.3%
315297
 
1.7%
43990
 
0.4%
ValueCountFrequency (%)
78514
 
1.0%
655056
6.2%
513587
 
1.5%
43990
 
0.4%
315297
 
1.7%

D19_GARTEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2559926214
Minimum0
Maximum7
Zeros851626
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:36.786075image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.213047558
Coefficient of variation (CV)4.738603603
Kurtosis20.21717778
Mean0.2559926214
Median Absolute Deviation (MAD)0
Skewness4.662702276
Sum228146
Variance1.471484378
MonotonicityNot monotonic
2021-05-29T15:53:36.896410image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0851626
95.6%
620410
 
2.3%
79555
 
1.1%
54979
 
0.6%
34003
 
0.4%
4328
 
< 0.1%
2265
 
< 0.1%
155
 
< 0.1%
ValueCountFrequency (%)
0851626
95.6%
155
 
< 0.1%
2265
 
< 0.1%
34003
 
0.4%
4328
 
< 0.1%
ValueCountFrequency (%)
79555
1.1%
620410
2.3%
54979
 
0.6%
4328
 
< 0.1%
34003
 
0.4%

D19_GESAMT_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7976831785
Minimum0
Maximum6
Zeros584797
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:36.998711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.330717922
Coefficient of variation (CV)1.668228638
Kurtosis1.978641833
Mean0.7976831785
Median Absolute Deviation (MAD)0
Skewness1.68398608
Sum710912
Variance1.770810189
MonotonicityNot monotonic
2021-05-29T15:53:37.103148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0584797
65.6%
199465
 
11.2%
297282
 
10.9%
345685
 
5.1%
443579
 
4.9%
516966
 
1.9%
63447
 
0.4%
ValueCountFrequency (%)
0584797
65.6%
199465
 
11.2%
297282
 
10.9%
345685
 
5.1%
443579
 
4.9%
ValueCountFrequency (%)
63447
 
0.4%
516966
 
1.9%
443579
4.9%
345685
5.1%
297282
10.9%

D19_GESAMT_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.240179484
Minimum0
Maximum6
Zeros505303
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:37.204952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.72786727
Coefficient of variation (CV)1.393239682
Kurtosis0.1227129192
Mean1.240179484
Median Absolute Deviation (MAD)0
Skewness1.176568175
Sum1105274
Variance2.985525303
MonotonicityNot monotonic
2021-05-29T15:53:37.308895image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0505303
56.7%
2101785
 
11.4%
186493
 
9.7%
474210
 
8.3%
358554
 
6.6%
546547
 
5.2%
618329
 
2.1%
ValueCountFrequency (%)
0505303
56.7%
186493
 
9.7%
2101785
 
11.4%
358554
 
6.6%
474210
 
8.3%
ValueCountFrequency (%)
618329
 
2.1%
546547
5.2%
474210
8.3%
358554
6.6%
2101785
11.4%

D19_GESAMT_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.071743148
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:37.428741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.212714827
Coefficient of variation (CV)0.454303099
Kurtosis-1.051195891
Mean7.071743148
Median Absolute Deviation (MAD)1
Skewness-0.6616137514
Sum6302486
Variance10.32153656
MonotonicityNot monotonic
2021-05-29T15:53:37.547612image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10354170
39.7%
998281
 
11.0%
593740
 
10.5%
176009
 
8.5%
259774
 
6.7%
852852
 
5.9%
444031
 
4.9%
642008
 
4.7%
737486
 
4.2%
332870
 
3.7%
ValueCountFrequency (%)
176009
8.5%
259774
6.7%
332870
 
3.7%
444031
4.9%
593740
10.5%
ValueCountFrequency (%)
10354170
39.7%
998281
 
11.0%
852852
 
5.9%
737486
 
4.2%
642008
 
4.7%

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.034676023
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:37.683010image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.768926187
Coefficient of variation (CV)0.195792985
Kurtosis5.521696248
Mean9.034676023
Median Absolute Deviation (MAD)0
Skewness-2.355357653
Sum8051893
Variance3.129099854
MonotonicityNot monotonic
2021-05-29T15:53:37.821505image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10558558
62.7%
9147456
 
16.5%
869382
 
7.8%
534827
 
3.9%
727784
 
3.1%
622717
 
2.5%
49547
 
1.1%
29188
 
1.0%
16311
 
0.7%
35451
 
0.6%
ValueCountFrequency (%)
16311
 
0.7%
29188
 
1.0%
35451
 
0.6%
49547
 
1.1%
534827
3.9%
ValueCountFrequency (%)
10558558
62.7%
9147456
 
16.5%
869382
 
7.8%
727784
 
3.1%
622717
 
2.5%

D19_GESAMT_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.680381185
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:37.989832image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.039866847
Coefficient of variation (CV)0.3957963509
Kurtosis-0.4469555651
Mean7.680381185
Median Absolute Deviation (MAD)0
Skewness-1.001717247
Sum6844917
Variance9.240790446
MonotonicityNot monotonic
2021-05-29T15:53:38.124088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10450995
50.6%
986118
 
9.7%
579773
 
9.0%
157331
 
6.4%
842628
 
4.8%
241391
 
4.6%
636995
 
4.2%
436227
 
4.1%
733434
 
3.8%
326329
 
3.0%
ValueCountFrequency (%)
157331
6.4%
241391
4.6%
326329
 
3.0%
436227
4.1%
579773
9.0%
ValueCountFrequency (%)
10450995
50.6%
986118
 
9.7%
842628
 
4.8%
733434
 
3.8%
636995
 
4.2%

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean3.560951762
Minimum0
Maximum10
Zeros393075
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:38.217060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.658537684
Coefficient of variation (CV)1.308228248
Kurtosis-1.603932033
Mean3.560951762
Median Absolute Deviation (MAD)0
Skewness0.5886854726
Sum2258028
Variance21.70197335
MonotonicityNot monotonic
2021-05-29T15:53:38.327444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0393075
44.1%
10199906
22.4%
510517
 
1.2%
89467
 
1.1%
76923
 
0.8%
96046
 
0.7%
33543
 
0.4%
61679
 
0.2%
21066
 
0.1%
41017
 
0.1%
(Missing)257113
28.8%
ValueCountFrequency (%)
0393075
44.1%
1869
 
0.1%
21066
 
0.1%
33543
 
0.4%
41017
 
0.1%
ValueCountFrequency (%)
10199906
22.4%
96046
 
0.7%
89467
 
1.1%
76923
 
0.8%
61679
 
0.2%

D19_HANDWERK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8419942977
Minimum0
Maximum7
Zeros768381
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:38.424670image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.119703265
Coefficient of variation (CV)2.517479359
Kurtosis2.691117597
Mean0.8419942977
Median Absolute Deviation (MAD)0
Skewness2.149109132
Sum750403
Variance4.493141932
MonotonicityNot monotonic
2021-05-29T15:53:38.537022image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0768381
86.2%
690968
 
10.2%
725319
 
2.8%
53810
 
0.4%
32465
 
0.3%
4184
 
< 0.1%
287
 
< 0.1%
17
 
< 0.1%
ValueCountFrequency (%)
0768381
86.2%
17
 
< 0.1%
287
 
< 0.1%
32465
 
0.3%
4184
 
< 0.1%
ValueCountFrequency (%)
725319
 
2.8%
690968
10.2%
53810
 
0.4%
4184
 
< 0.1%
32465
 
0.3%

D19_HAUS_DEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.017851913
Minimum0
Maximum7
Zeros713100
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:38.634427image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.144350331
Coefficient of variation (CV)2.106740974
Kurtosis1.350673895
Mean1.017851913
Median Absolute Deviation (MAD)0
Skewness1.770905762
Sum907131
Variance4.598238343
MonotonicityNot monotonic
2021-05-29T15:53:38.738819image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0713100
80.0%
6100720
 
11.3%
331024
 
3.5%
520748
 
2.3%
710278
 
1.2%
27476
 
0.8%
14133
 
0.5%
43742
 
0.4%
ValueCountFrequency (%)
0713100
80.0%
14133
 
0.5%
27476
 
0.8%
331024
 
3.5%
43742
 
0.4%
ValueCountFrequency (%)
710278
 
1.2%
6100720
11.3%
520748
 
2.3%
43742
 
0.4%
331024
 
3.5%

D19_KINDERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8706572219
Minimum0
Maximum7
Zeros749365
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:38.836371image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.077302903
Coefficient of variation (CV)2.38590211
Kurtosis2.530702709
Mean0.8706572219
Median Absolute Deviation (MAD)0
Skewness2.080699659
Sum775948
Variance4.31518735
MonotonicityNot monotonic
2021-05-29T15:53:38.947916image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0749365
84.1%
679320
 
8.9%
722597
 
2.5%
316402
 
1.8%
513398
 
1.5%
25842
 
0.7%
43224
 
0.4%
11073
 
0.1%
ValueCountFrequency (%)
0749365
84.1%
11073
 
0.1%
25842
 
0.7%
316402
 
1.8%
43224
 
0.4%
ValueCountFrequency (%)
722597
 
2.5%
679320
8.9%
513398
 
1.5%
43224
 
0.4%
316402
 
1.8%

D19_KONSUMTYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean5.424539668
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:39.047389image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.234275463
Coefficient of variation (CV)0.5962304012
Kurtosis-1.620701327
Mean5.424539668
Median Absolute Deviation (MAD)4
Skewness-0.07216050728
Sum3439744
Variance10.46053777
MonotonicityNot monotonic
2021-05-29T15:53:39.147749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
9254296
28.5%
1117912
13.2%
478262
 
8.8%
656562
 
6.3%
353330
 
6.0%
249324
 
5.5%
524422
 
2.7%
(Missing)257113
28.8%
ValueCountFrequency (%)
1117912
13.2%
249324
5.5%
353330
6.0%
478262
8.8%
524422
 
2.7%
ValueCountFrequency (%)
9254296
28.5%
656562
 
6.3%
524422
 
2.7%
478262
 
8.8%
353330
 
6.0%

D19_KONSUMTYP_MAX
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.849228194
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:39.499256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.225761975
Coefficient of variation (CV)0.5514850623
Kurtosis-1.591701794
Mean5.849228194
Median Absolute Deviation (MAD)1
Skewness-0.4339861885
Sum5212955
Variance10.40554032
MonotonicityNot monotonic
2021-05-29T15:53:39.639851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8260285
29.2%
9257113
28.8%
1144570
16.2%
291423
 
10.3%
475752
 
8.5%
362078
 
7.0%
ValueCountFrequency (%)
1144570
16.2%
291423
 
10.3%
362078
 
7.0%
475752
 
8.5%
8260285
29.2%
ValueCountFrequency (%)
9257113
28.8%
8260285
29.2%
475752
 
8.5%
362078
 
7.0%
291423
 
10.3%

D19_KOSMETIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0301014
Minimum0
Maximum7
Zeros745836
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:39.758725image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.347222584
Coefficient of variation (CV)2.278632554
Kurtosis1.541369181
Mean1.0301014
Median Absolute Deviation (MAD)0
Skewness1.86526696
Sum918048
Variance5.509453861
MonotonicityNot monotonic
2021-05-29T15:53:39.866687image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0745836
83.7%
689353
 
10.0%
752858
 
5.9%
51292
 
0.1%
31263
 
0.1%
4269
 
< 0.1%
2249
 
< 0.1%
1101
 
< 0.1%
ValueCountFrequency (%)
0745836
83.7%
1101
 
< 0.1%
2249
 
< 0.1%
31263
 
0.1%
4269
 
< 0.1%
ValueCountFrequency (%)
752858
5.9%
689353
10.0%
51292
 
0.1%
4269
 
< 0.1%
31263
 
0.1%

D19_LEBENSMITTEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3195245624
Minimum0
Maximum7
Zeros837914
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:39.960225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.316089627
Coefficient of variation (CV)4.118899709
Kurtosis15.11640273
Mean0.3195245624
Median Absolute Deviation (MAD)0
Skewness4.070427464
Sum284767
Variance1.732091907
MonotonicityNot monotonic
2021-05-29T15:53:40.059325image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0837914
94.0%
627626
 
3.1%
310044
 
1.1%
78318
 
0.9%
55198
 
0.6%
21315
 
0.1%
4409
 
< 0.1%
1397
 
< 0.1%
ValueCountFrequency (%)
0837914
94.0%
1397
 
< 0.1%
21315
 
0.1%
310044
 
1.1%
4409
 
< 0.1%
ValueCountFrequency (%)
78318
 
0.9%
627626
3.1%
55198
 
0.6%
4409
 
< 0.1%
310044
 
1.1%

D19_LETZTER_KAUF_BRANCHE
Categorical

MISSING

Distinct35
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Memory size6.8 MiB
D19_UNBEKANNT
195338 
D19_VERSICHERUNGEN
57734 
D19_SONSTIGE
44722 
D19_VOLLSORTIMENT
34812 
D19_SCHUHE
32578 
Other values (30)
268924 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD19_UNBEKANNT
2nd rowD19_UNBEKANNT
3rd rowD19_SCHUHE
4th rowD19_ENERGIE
5th rowD19_UNBEKANNT

Common Values

ValueCountFrequency (%)
D19_UNBEKANNT195338
21.9%
D19_VERSICHERUNGEN57734
 
6.5%
D19_SONSTIGE44722
 
5.0%
D19_VOLLSORTIMENT34812
 
3.9%
D19_SCHUHE32578
 
3.7%
D19_BUCH_CD28754
 
3.2%
D19_VERSAND_REST26034
 
2.9%
D19_DROGERIEARTIKEL24072
 
2.7%
D19_BANKEN_DIREKT23273
 
2.6%
D19_BEKLEIDUNG_REST21796
 
2.4%
Other values (25)144995
16.3%
(Missing)257113
28.8%

D19_LOTTO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.521732891
Minimum0
Maximum7
Zeros490843
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:40.301034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.832520981
Coefficient of variation (CV)1.861378563
Kurtosis-0.1702684246
Mean1.521732891
Median Absolute Deviation (MAD)0
Skewness1.341508541
Sum964943
Variance8.023175109
MonotonicityNot monotonic
2021-05-29T15:53:40.398765image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0490843
55.1%
7113486
 
12.7%
625736
 
2.9%
52011
 
0.2%
31869
 
0.2%
478
 
< 0.1%
266
 
< 0.1%
119
 
< 0.1%
(Missing)257113
28.8%
ValueCountFrequency (%)
0490843
55.1%
119
 
< 0.1%
266
 
< 0.1%
31869
 
0.2%
478
 
< 0.1%
ValueCountFrequency (%)
7113486
12.7%
625736
 
2.9%
52011
 
0.2%
478
 
< 0.1%
31869
 
0.2%

D19_NAHRUNGSERGAENZUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2445240855
Minimum0
Maximum7
Zeros852176
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:40.484805image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.184654187
Coefficient of variation (CV)4.84473415
Kurtosis22.0998643
Mean0.2445240855
Median Absolute Deviation (MAD)0
Skewness4.841231013
Sum217925
Variance1.403405544
MonotonicityNot monotonic
2021-05-29T15:53:40.586477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0852176
95.6%
615778
 
1.8%
711596
 
1.3%
35768
 
0.6%
54243
 
0.5%
2679
 
0.1%
1572
 
0.1%
4409
 
< 0.1%
ValueCountFrequency (%)
0852176
95.6%
1572
 
0.1%
2679
 
0.1%
35768
 
0.6%
4409
 
< 0.1%
ValueCountFrequency (%)
711596
1.3%
615778
1.8%
54243
 
0.5%
4409
 
< 0.1%
35768
 
0.6%

D19_RATGEBER
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5028303866
Minimum0
Maximum7
Zeros805071
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:40.681074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.616870573
Coefficient of variation (CV)3.215538711
Kurtosis7.916111676
Mean0.5028303866
Median Absolute Deviation (MAD)0
Skewness3.088104446
Sum448133
Variance2.61427045
MonotonicityNot monotonic
2021-05-29T15:53:40.783723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0805071
90.3%
644707
 
5.0%
712287
 
1.4%
310598
 
1.2%
28334
 
0.9%
57197
 
0.8%
42136
 
0.2%
1891
 
0.1%
ValueCountFrequency (%)
0805071
90.3%
1891
 
0.1%
28334
 
0.9%
310598
 
1.2%
42136
 
0.2%
ValueCountFrequency (%)
712287
 
1.4%
644707
5.0%
57197
 
0.8%
42136
 
0.2%
310598
 
1.2%

D19_REISEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.048627669
Minimum0
Maximum7
Zeros736924
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:40.886286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.329346976
Coefficient of variation (CV)2.221328928
Kurtosis1.410457606
Mean1.048627669
Median Absolute Deviation (MAD)0
Skewness1.82118668
Sum934559
Variance5.425857335
MonotonicityNot monotonic
2021-05-29T15:53:41.013339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0736924
82.7%
694123
 
10.6%
745315
 
5.1%
35758
 
0.6%
55149
 
0.6%
22975
 
0.3%
4890
 
0.1%
187
 
< 0.1%
ValueCountFrequency (%)
0736924
82.7%
187
 
< 0.1%
22975
 
0.3%
35758
 
0.6%
4890
 
0.1%
ValueCountFrequency (%)
745315
5.1%
694123
10.6%
55149
 
0.6%
4890
 
0.1%
35758
 
0.6%

D19_SAMMELARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5946056029
Minimum0
Maximum7
Zeros802085
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:41.111018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.798291114
Coefficient of variation (CV)3.024342699
Kurtosis5.541964347
Mean0.5946056029
Median Absolute Deviation (MAD)0
Skewness2.729534579
Sum529925
Variance3.23385093
MonotonicityNot monotonic
2021-05-29T15:53:41.235924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0802085
90.0%
671297
 
8.0%
710067
 
1.1%
54072
 
0.5%
33016
 
0.3%
4470
 
0.1%
2172
 
< 0.1%
142
 
< 0.1%
ValueCountFrequency (%)
0802085
90.0%
142
 
< 0.1%
2172
 
< 0.1%
33016
 
0.3%
4470
 
0.1%
ValueCountFrequency (%)
710067
 
1.1%
671297
8.0%
54072
 
0.5%
4470
 
0.1%
33016
 
0.3%

D19_SCHUHE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5108183043
Minimum0
Maximum7
Zeros773024
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:41.401627image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433293004
Coefficient of variation (CV)2.80587636
Kurtosis7.427577596
Mean0.5108183043
Median Absolute Deviation (MAD)0
Skewness2.88407437
Sum455252
Variance2.054328836
MonotonicityNot monotonic
2021-05-29T15:53:41.589807image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0773024
86.7%
346487
 
5.2%
620589
 
2.3%
519947
 
2.2%
217071
 
1.9%
75632
 
0.6%
14976
 
0.6%
43495
 
0.4%
ValueCountFrequency (%)
0773024
86.7%
14976
 
0.6%
217071
 
1.9%
346487
 
5.2%
43495
 
0.4%
ValueCountFrequency (%)
75632
 
0.6%
620589
2.3%
519947
2.2%
43495
 
0.4%
346487
5.2%

D19_SONSTIGE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.365958612
Minimum0
Maximum7
Zeros505953
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:41.713803image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.861577014
Coefficient of variation (CV)1.209478898
Kurtosis-1.610906026
Mean2.365958612
Median Absolute Deviation (MAD)0
Skewness0.4965648036
Sum2108592
Variance8.18862301
MonotonicityNot monotonic
2021-05-29T15:53:41.845314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0505953
56.8%
6220478
24.7%
758373
 
6.5%
344578
 
5.0%
535028
 
3.9%
210816
 
1.2%
410204
 
1.1%
15791
 
0.6%
ValueCountFrequency (%)
0505953
56.8%
15791
 
0.6%
210816
 
1.2%
344578
 
5.0%
410204
 
1.1%
ValueCountFrequency (%)
758373
 
6.5%
6220478
24.7%
535028
 
3.9%
410204
 
1.1%
344578
 
5.0%

D19_SOZIALES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.657908432
Minimum0
Maximum5
Zeros505828
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:41.950553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.457773725
Coefficient of variation (CV)2.215769938
Kurtosis2.641717346
Mean0.657908432
Median Absolute Deviation (MAD)0
Skewness2.047175557
Sum417185
Variance2.125104234
MonotonicityNot monotonic
2021-05-29T15:53:42.062928image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0505828
56.8%
436514
 
4.1%
530414
 
3.4%
125128
 
2.8%
321483
 
2.4%
214741
 
1.7%
(Missing)257113
28.8%
ValueCountFrequency (%)
0505828
56.8%
125128
 
2.8%
214741
 
1.7%
321483
 
2.4%
436514
 
4.1%
ValueCountFrequency (%)
530414
3.4%
436514
4.1%
321483
2.4%
214741
1.7%
125128
2.8%

D19_TECHNIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.738563162
Minimum0
Maximum7
Zeros630101
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:42.153300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.740416536
Coefficient of variation (CV)1.576253653
Kurtosis-0.9707793303
Mean1.738563162
Median Absolute Deviation (MAD)0
Skewness0.9818040267
Sum1549444
Variance7.50988279
MonotonicityNot monotonic
2021-05-29T15:53:42.276470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0630101
70.7%
6190979
 
21.4%
741174
 
4.6%
514389
 
1.6%
311064
 
1.2%
41846
 
0.2%
21163
 
0.1%
1505
 
0.1%
ValueCountFrequency (%)
0630101
70.7%
1505
 
0.1%
21163
 
0.1%
311064
 
1.2%
41846
 
0.2%
ValueCountFrequency (%)
741174
 
4.6%
6190979
21.4%
514389
 
1.6%
41846
 
0.2%
311064
 
1.2%

D19_TELKO_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04905629468
Minimum0
Maximum6
Zeros857990
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:42.394768image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2775520519
Coefficient of variation (CV)5.657827475
Kurtosis71.00257978
Mean0.04905629468
Median Absolute Deviation (MAD)0
Skewness7.350416418
Sum43720
Variance0.07703514149
MonotonicityNot monotonic
2021-05-29T15:53:42.506968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0857990
96.3%
124868
 
2.8%
26954
 
0.8%
3865
 
0.1%
4406
 
< 0.1%
5103
 
< 0.1%
635
 
< 0.1%
ValueCountFrequency (%)
0857990
96.3%
124868
 
2.8%
26954
 
0.8%
3865
 
0.1%
4406
 
< 0.1%
ValueCountFrequency (%)
635
 
< 0.1%
5103
 
< 0.1%
4406
 
< 0.1%
3865
 
0.1%
26954
0.8%

D19_TELKO_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09880377594
Minimum0
Maximum6
Zeros826208
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:42.606824image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3935872808
Coefficient of variation (CV)3.983524688
Kurtosis32.13673667
Mean0.09880377594
Median Absolute Deviation (MAD)0
Skewness5.029072305
Sum88056
Variance0.1549109476
MonotonicityNot monotonic
2021-05-29T15:53:42.703923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0826208
92.7%
146520
 
5.2%
215343
 
1.7%
32055
 
0.2%
4844
 
0.1%
5197
 
< 0.1%
654
 
< 0.1%
ValueCountFrequency (%)
0826208
92.7%
146520
 
5.2%
215343
 
1.7%
32055
 
0.2%
4844
 
0.1%
ValueCountFrequency (%)
654
 
< 0.1%
5197
 
< 0.1%
4844
 
0.1%
32055
 
0.2%
215343
1.7%

D19_TELKO_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.428727555
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:42.805187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.34428937
Coefficient of variation (CV)0.1425737845
Kurtosis11.88464681
Mean9.428727555
Median Absolute Deviation (MAD)0
Skewness-3.248079154
Sum8403080
Variance1.807113911
MonotonicityNot monotonic
2021-05-29T15:53:42.894641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10665798
74.7%
9117950
 
13.2%
842460
 
4.8%
519492
 
2.2%
718163
 
2.0%
613619
 
1.5%
45314
 
0.6%
13079
 
0.3%
22818
 
0.3%
32528
 
0.3%
ValueCountFrequency (%)
13079
 
0.3%
22818
 
0.3%
32528
 
0.3%
45314
 
0.6%
519492
2.2%
ValueCountFrequency (%)
10665798
74.7%
9117950
 
13.2%
842460
 
4.8%
718163
 
2.0%
613619
 
1.5%

D19_TELKO_MOBILE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.009936929
Minimum0
Maximum7
Zeros726804
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:42.978788image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.18710219
Coefficient of variation (CV)2.165582946
Kurtosis1.300496888
Mean1.009936929
Median Absolute Deviation (MAD)0
Skewness1.782552536
Sum900077
Variance4.78341599
MonotonicityNot monotonic
2021-05-29T15:53:43.074996image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0726804
81.6%
6116433
 
13.1%
316429
 
1.8%
514257
 
1.6%
78222
 
0.9%
43573
 
0.4%
23558
 
0.4%
11945
 
0.2%
ValueCountFrequency (%)
0726804
81.6%
11945
 
0.2%
23558
 
0.4%
316429
 
1.8%
43573
 
0.4%
ValueCountFrequency (%)
78222
 
0.9%
6116433
13.1%
514257
 
1.6%
43573
 
0.4%
316429
 
1.8%

D19_TELKO_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.828039285
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:43.166235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7458518099
Coefficient of variation (CV)0.07589019419
Kurtosis45.54768099
Mean9.828039285
Median Absolute Deviation (MAD)0
Skewness-6.138606915
Sum8758955
Variance0.5562949223
MonotonicityNot monotonic
2021-05-29T15:53:43.263739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10819114
91.9%
936707
 
4.1%
818620
 
2.1%
56309
 
0.7%
63971
 
0.4%
73590
 
0.4%
41169
 
0.1%
1682
 
0.1%
2544
 
0.1%
3515
 
0.1%
ValueCountFrequency (%)
1682
 
0.1%
2544
 
0.1%
3515
 
0.1%
41169
 
0.1%
56309
0.7%
ValueCountFrequency (%)
10819114
91.9%
936707
 
4.1%
818620
 
2.1%
73590
 
0.4%
63971
 
0.4%

D19_TELKO_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.981780052
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:43.375276image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2410353717
Coefficient of variation (CV)0.02414753385
Kurtosis470.1718655
Mean9.981780052
Median Absolute Deviation (MAD)0
Skewness-19.38108225
Sum8895972
Variance0.05809805041
MonotonicityNot monotonic
2021-05-29T15:53:43.466184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10883018
99.1%
94664
 
0.5%
81728
 
0.2%
7566
 
0.1%
5496
 
0.1%
6457
 
0.1%
4114
 
< 0.1%
168
 
< 0.1%
364
 
< 0.1%
246
 
< 0.1%
ValueCountFrequency (%)
168
 
< 0.1%
246
 
< 0.1%
364
 
< 0.1%
4114
 
< 0.1%
5496
0.1%
ValueCountFrequency (%)
10883018
99.1%
94664
 
0.5%
81728
 
0.2%
7566
 
0.1%
6457
 
0.1%

D19_TELKO_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.01226131826
Minimum0
Maximum10
Zeros633320
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:43.573236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3487803263
Coefficient of variation (CV)28.44558137
Kurtosis811.9035815
Mean0.01226131826
Median Absolute Deviation (MAD)0
Skewness28.50527578
Sum7775
Variance0.121647716
MonotonicityNot monotonic
2021-05-29T15:53:43.702718image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0633320
71.1%
10767
 
0.1%
519
 
< 0.1%
31
 
< 0.1%
71
 
< 0.1%
(Missing)257113
28.8%
ValueCountFrequency (%)
0633320
71.1%
31
 
< 0.1%
519
 
< 0.1%
71
 
< 0.1%
10767
 
0.1%
ValueCountFrequency (%)
10767
 
0.1%
71
 
< 0.1%
519
 
< 0.1%
31
 
< 0.1%
0633320
71.1%

D19_TELKO_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7799962075
Minimum0
Maximum7
Zeros765973
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:43.804404image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.969723658
Coefficient of variation (CV)2.525299019
Kurtosis2.971448125
Mean0.7799962075
Median Absolute Deviation (MAD)0
Skewness2.199683327
Sum695149
Variance3.879811288
MonotonicityNot monotonic
2021-05-29T15:53:43.919983image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0765973
85.9%
688346
 
9.9%
515301
 
1.7%
311467
 
1.3%
75905
 
0.7%
42402
 
0.3%
21397
 
0.2%
1430
 
< 0.1%
ValueCountFrequency (%)
0765973
85.9%
1430
 
< 0.1%
21397
 
0.2%
311467
 
1.3%
42402
 
0.3%
ValueCountFrequency (%)
75905
 
0.7%
688346
9.9%
515301
 
1.7%
42402
 
0.3%
311467
 
1.3%

D19_TIERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2431776181
Minimum0
Maximum7
Zeros852220
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:44.025899image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.170808787
Coefficient of variation (CV)4.814623963
Kurtosis21.54744599
Mean0.2431776181
Median Absolute Deviation (MAD)0
Skewness4.788953418
Sum216725
Variance1.370793217
MonotonicityNot monotonic
2021-05-29T15:53:44.174958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0852220
95.6%
620168
 
2.3%
77945
 
0.9%
36030
 
0.7%
53809
 
0.4%
2553
 
0.1%
4455
 
0.1%
141
 
< 0.1%
ValueCountFrequency (%)
0852220
95.6%
141
 
< 0.1%
2553
 
0.1%
36030
 
0.7%
4455
 
0.1%
ValueCountFrequency (%)
77945
 
0.9%
620168
2.3%
53809
 
0.4%
4455
 
0.1%
36030
 
0.7%

D19_VERSAND_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6046457613
Minimum0
Maximum6
Zeros637972
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:44.318510image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.150455209
Coefficient of variation (CV)1.90269292
Kurtosis3.719617491
Mean0.6046457613
Median Absolute Deviation (MAD)0
Skewness2.062303928
Sum538873
Variance1.323547188
MonotonicityNot monotonic
2021-05-29T15:53:44.460430image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0637972
71.6%
196577
 
10.8%
281616
 
9.2%
334258
 
3.8%
429393
 
3.3%
59712
 
1.1%
61693
 
0.2%
ValueCountFrequency (%)
0637972
71.6%
196577
 
10.8%
281616
 
9.2%
334258
 
3.8%
429393
 
3.3%
ValueCountFrequency (%)
61693
 
0.2%
59712
 
1.1%
429393
 
3.3%
334258
3.8%
281616
9.2%

D19_VERSAND_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9588676658
Minimum0
Maximum6
Zeros563818
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:44.570065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.529453274
Coefficient of variation (CV)1.595061893
Kurtosis1.273680426
Mean0.9588676658
Median Absolute Deviation (MAD)0
Skewness1.530627127
Sum854563
Variance2.339227319
MonotonicityNot monotonic
2021-05-29T15:53:44.746309image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0563818
63.3%
293666
 
10.5%
190253
 
10.1%
455016
 
6.2%
347832
 
5.4%
530398
 
3.4%
610238
 
1.1%
ValueCountFrequency (%)
0563818
63.3%
190253
 
10.1%
293666
 
10.5%
347832
 
5.4%
455016
 
6.2%
ValueCountFrequency (%)
610238
 
1.1%
530398
 
3.4%
455016
6.2%
347832
5.4%
293666
10.5%

D19_VERSAND_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.717379864
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:44.926993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.989552188
Coefficient of variation (CV)0.3873791676
Kurtosis-0.339375028
Mean7.717379864
Median Absolute Deviation (MAD)1
Skewness-1.040115424
Sum6877891
Variance8.937422284
MonotonicityNot monotonic
2021-05-29T15:53:45.104193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10437886
49.1%
9100846
 
11.3%
578589
 
8.8%
153921
 
6.1%
850332
 
5.6%
240994
 
4.6%
637125
 
4.2%
434157
 
3.8%
732104
 
3.6%
325267
 
2.8%
ValueCountFrequency (%)
153921
6.1%
240994
4.6%
325267
 
2.8%
434157
3.8%
578589
8.8%
ValueCountFrequency (%)
10437886
49.1%
9100846
 
11.3%
850332
 
5.6%
732104
 
3.6%
637125
 
4.2%

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.326817927
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:45.224914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.456007075
Coefficient of variation (CV)0.156109735
Kurtosis9.697407283
Mean9.326817927
Median Absolute Deviation (MAD)0
Skewness-2.960151515
Sum8312256
Variance2.119956602
MonotonicityNot monotonic
2021-05-29T15:53:45.335162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10634233
71.2%
9124063
 
13.9%
857907
 
6.5%
522691
 
2.5%
719855
 
2.2%
615543
 
1.7%
45363
 
0.6%
24845
 
0.5%
13450
 
0.4%
33271
 
0.4%
ValueCountFrequency (%)
13450
 
0.4%
24845
 
0.5%
33271
 
0.4%
45363
 
0.6%
522691
2.5%
ValueCountFrequency (%)
10634233
71.2%
9124063
 
13.9%
857907
 
6.5%
719855
 
2.2%
615543
 
1.7%

D19_VERSAND_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.942473303
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:45.737079image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.942631168
Coefficient of variation (CV)0.3704930511
Kurtosis-0.03562902018
Mean7.942473303
Median Absolute Deviation (MAD)0
Skewness-1.181770484
Sum7078499
Variance8.659078189
MonotonicityNot monotonic
2021-05-29T15:53:45.828840image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10494464
55.5%
982541
 
9.3%
570781
 
7.9%
149813
 
5.6%
838330
 
4.3%
237014
 
4.2%
634143
 
3.8%
431525
 
3.5%
729454
 
3.3%
323156
 
2.6%
ValueCountFrequency (%)
149813
5.6%
237014
4.2%
323156
 
2.6%
431525
3.5%
570781
7.9%
ValueCountFrequency (%)
10494464
55.5%
982541
 
9.3%
838330
 
4.3%
729454
 
3.3%
634143
 
3.8%

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean3.244431548
Minimum0
Maximum10
Zeros417367
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:45.916194image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.586604267
Coefficient of variation (CV)1.413685017
Kurtosis-1.411343211
Mean3.244431548
Median Absolute Deviation (MAD)0
Skewness0.7413724714
Sum2057320
Variance21.0369387
MonotonicityNot monotonic
2021-05-29T15:53:46.018604image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0417367
46.8%
10187652
21.1%
58034
 
0.9%
86419
 
0.7%
74920
 
0.6%
93931
 
0.4%
32653
 
0.3%
61080
 
0.1%
2751
 
0.1%
4739
 
0.1%
(Missing)257113
28.8%
ValueCountFrequency (%)
0417367
46.8%
1562
 
0.1%
2751
 
0.1%
32653
 
0.3%
4739
 
0.1%
ValueCountFrequency (%)
10187652
21.1%
93931
 
0.4%
86419
 
0.7%
74920
 
0.6%
61080
 
0.1%

D19_VERSAND_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.829549573
Minimum0
Maximum7
Zeros734442
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:46.142326image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.912499309
Coefficient of variation (CV)2.305467173
Kurtosis2.63734736
Mean0.829549573
Median Absolute Deviation (MAD)0
Skewness2.070417007
Sum739312
Variance3.657653605
MonotonicityNot monotonic
2021-05-29T15:53:46.265182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0734442
82.4%
669248
 
7.8%
339251
 
4.4%
525227
 
2.8%
27560
 
0.8%
75770
 
0.6%
44901
 
0.5%
14822
 
0.5%
ValueCountFrequency (%)
0734442
82.4%
14822
 
0.5%
27560
 
0.8%
339251
 
4.4%
44901
 
0.5%
ValueCountFrequency (%)
75770
 
0.6%
669248
7.8%
525227
 
2.8%
44901
 
0.5%
339251
4.4%

D19_VERSI_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1135969642
Minimum0
Maximum6
Zeros821289
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:46.374879image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4348766063
Coefficient of variation (CV)3.828241445
Kurtosis25.30603907
Mean0.1135969642
Median Absolute Deviation (MAD)0
Skewness4.631649786
Sum101240
Variance0.1891176627
MonotonicityNot monotonic
2021-05-29T15:53:46.486771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0821289
92.2%
144933
 
5.0%
220273
 
2.3%
33335
 
0.4%
41210
 
0.1%
5170
 
< 0.1%
611
 
< 0.1%
ValueCountFrequency (%)
0821289
92.2%
144933
 
5.0%
220273
 
2.3%
33335
 
0.4%
41210
 
0.1%
ValueCountFrequency (%)
611
 
< 0.1%
5170
 
< 0.1%
41210
 
0.1%
33335
 
0.4%
220273
2.3%

D19_VERSI_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2069980398
Minimum0
Maximum6
Zeros777037
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:46.582077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6170164979
Coefficient of variation (CV)2.980784256
Kurtosis14.56588033
Mean0.2069980398
Median Absolute Deviation (MAD)0
Skewness3.578597394
Sum184481
Variance0.3807093587
MonotonicityNot monotonic
2021-05-29T15:53:46.686767image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0777037
87.2%
163340
 
7.1%
237144
 
4.2%
38848
 
1.0%
44048
 
0.5%
5707
 
0.1%
697
 
< 0.1%
ValueCountFrequency (%)
0777037
87.2%
163340
 
7.1%
237144
 
4.2%
38848
 
1.0%
44048
 
0.5%
ValueCountFrequency (%)
697
 
< 0.1%
5707
 
0.1%
44048
 
0.5%
38848
 
1.0%
237144
4.2%

D19_VERSI_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.142562844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:46.796417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.911185722
Coefficient of variation (CV)0.2090426672
Kurtosis6.061957322
Mean9.142562844
Median Absolute Deviation (MAD)0
Skewness-2.571540321
Sum8148044
Variance3.652630863
MonotonicityNot monotonic
2021-05-29T15:53:46.934017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10660478
74.1%
980231
 
9.0%
836328
 
4.1%
529040
 
3.3%
623236
 
2.6%
721016
 
2.4%
215916
 
1.8%
49593
 
1.1%
18760
 
1.0%
36623
 
0.7%
ValueCountFrequency (%)
18760
 
1.0%
215916
1.8%
36623
 
0.7%
49593
 
1.1%
529040
3.3%
ValueCountFrequency (%)
10660478
74.1%
980231
 
9.0%
836328
 
4.1%
721016
 
2.4%
623236
 
2.6%

D19_VERSI_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.922648816
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:47.056712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5026652349
Coefficient of variation (CV)0.050658372
Kurtosis97.48171996
Mean9.922648816
Median Absolute Deviation (MAD)0
Skewness-9.035337778
Sum8843273
Variance0.2526723384
MonotonicityNot monotonic
2021-05-29T15:53:47.165899image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10858212
96.3%
917992
 
2.0%
87013
 
0.8%
53368
 
0.4%
71911
 
0.2%
61586
 
0.2%
4544
 
0.1%
2207
 
< 0.1%
3205
 
< 0.1%
1183
 
< 0.1%
ValueCountFrequency (%)
1183
 
< 0.1%
2207
 
< 0.1%
3205
 
< 0.1%
4544
 
0.1%
53368
0.4%
ValueCountFrequency (%)
10858212
96.3%
917992
 
2.0%
87013
 
0.8%
71911
 
0.2%
61586
 
0.2%

D19_VERSI_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.976711725
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:47.252776image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3111910919
Coefficient of variation (CV)0.0311917494
Kurtosis330.6294738
Mean9.976711725
Median Absolute Deviation (MAD)0
Skewness-16.95221773
Sum8891455
Variance0.0968398957
MonotonicityNot monotonic
2021-05-29T15:53:47.345617image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10883826
99.2%
92766
 
0.3%
81254
 
0.1%
71045
 
0.1%
5982
 
0.1%
6684
 
0.1%
4292
 
< 0.1%
2136
 
< 0.1%
3132
 
< 0.1%
1104
 
< 0.1%
ValueCountFrequency (%)
1104
 
< 0.1%
2136
 
< 0.1%
3132
 
< 0.1%
4292
 
< 0.1%
5982
0.1%
ValueCountFrequency (%)
10883826
99.2%
92766
 
0.3%
81254
 
0.1%
71045
 
0.1%
6684
 
0.1%

D19_VERSI_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.02522756376
Minimum0
Maximum10
Zeros632462
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:47.446488image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4980100736
Coefficient of variation (CV)19.74071212
Kurtosis392.4967988
Mean0.02522756376
Median Absolute Deviation (MAD)0
Skewness19.82712069
Sum15997
Variance0.2480140334
MonotonicityNot monotonic
2021-05-29T15:53:47.565302image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0632462
71.0%
101548
 
0.2%
570
 
< 0.1%
711
 
< 0.1%
39
 
< 0.1%
86
 
< 0.1%
91
 
< 0.1%
61
 
< 0.1%
(Missing)257113
28.8%
ValueCountFrequency (%)
0632462
71.0%
39
 
< 0.1%
570
 
< 0.1%
61
 
< 0.1%
711
 
< 0.1%
ValueCountFrequency (%)
101548
0.2%
91
 
< 0.1%
86
 
< 0.1%
711
 
< 0.1%
61
 
< 0.1%

D19_VERSICHERUNGEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.259786293
Minimum0
Maximum7
Zeros654664
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:47.751407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.253954199
Coefficient of variation (CV)1.789155995
Kurtosis0.2188703704
Mean1.259786293
Median Absolute Deviation (MAD)0
Skewness1.405449114
Sum1122748
Variance5.08030953
MonotonicityNot monotonic
2021-05-29T15:53:47.915546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0654664
73.5%
6116559
 
13.1%
344933
 
5.0%
530998
 
3.5%
214892
 
1.7%
413254
 
1.5%
110107
 
1.1%
75814
 
0.7%
ValueCountFrequency (%)
0654664
73.5%
110107
 
1.1%
214892
 
1.7%
344933
 
5.0%
413254
 
1.5%
ValueCountFrequency (%)
75814
 
0.7%
6116559
13.1%
530998
 
3.5%
413254
 
1.5%
344933
 
5.0%

D19_VOLLSORTIMENT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.728497197
Minimum0
Maximum7
Zeros600002
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:48.075438image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.605193077
Coefficient of variation (CV)1.507201216
Kurtosis-0.9302481604
Mean1.728497197
Median Absolute Deviation (MAD)0
Skewness0.9580696057
Sum1540473
Variance6.787030967
MonotonicityNot monotonic
2021-05-29T15:53:48.213084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0600002
67.3%
6173626
 
19.5%
344589
 
5.0%
531303
 
3.5%
723231
 
2.6%
28250
 
0.9%
46366
 
0.7%
13854
 
0.4%
ValueCountFrequency (%)
0600002
67.3%
13854
 
0.4%
28250
 
0.9%
344589
 
5.0%
46366
 
0.7%
ValueCountFrequency (%)
723231
 
2.6%
6173626
19.5%
531303
 
3.5%
46366
 
0.7%
344589
 
5.0%

D19_WEIN_FEINKOST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3775146681
Minimum0
Maximum7
Zeros836142
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:48.355447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.493150872
Coefficient of variation (CV)3.955212865
Kurtosis12.5432718
Mean0.3775146681
Median Absolute Deviation (MAD)0
Skewness3.781988175
Sum336449
Variance2.229499526
MonotonicityNot monotonic
2021-05-29T15:53:48.505711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0836142
93.8%
627556
 
3.1%
720665
 
2.3%
33460
 
0.4%
52952
 
0.3%
4231
 
< 0.1%
2179
 
< 0.1%
136
 
< 0.1%
ValueCountFrequency (%)
0836142
93.8%
136
 
< 0.1%
2179
 
< 0.1%
33460
 
0.4%
4231
 
< 0.1%
ValueCountFrequency (%)
720665
2.3%
627556
3.1%
52952
 
0.3%
4231
 
< 0.1%
33460
 
0.4%

DSL_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean0.9678162273
Minimum0
Maximum1
Zeros25685
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:48.598228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1764880066
Coefficient of variation (CV)0.1823569409
Kurtosis26.10498436
Mean0.9678162273
Median Absolute Deviation (MAD)0
Skewness-5.30140726
Sum772388
Variance0.03114801647
MonotonicityNot monotonic
2021-05-29T15:53:48.702344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1772388
86.7%
025685
 
2.9%
(Missing)93148
 
10.5%
ValueCountFrequency (%)
025685
 
2.9%
1772388
86.7%
ValueCountFrequency (%)
1772388
86.7%
025685
 
2.9%

EINGEFUEGT_AM
Categorical

HIGH CARDINALITY
MISSING

Distinct5162
Distinct (%)0.6%
Missing93148
Missing (%)10.5%
Memory size6.8 MiB
1992-02-10 00:00:00
383738 
1992-02-12 00:00:00
192264 
1995-02-07 00:00:00
 
11181
2005-12-16 00:00:00
 
6291
2003-11-18 00:00:00
 
6050
Other values (5157)
198549 

Unique

Unique827 ?
Unique (%)0.1%

Sample

1st row1992-02-10 00:00:00
2nd row1992-02-12 00:00:00
3rd row1997-04-21 00:00:00
4th row1992-02-12 00:00:00
5th row1992-02-12 00:00:00

Common Values

ValueCountFrequency (%)
1992-02-10 00:00:00383738
43.1%
1992-02-12 00:00:00192264
21.6%
1995-02-07 00:00:0011181
 
1.3%
2005-12-16 00:00:006291
 
0.7%
2003-11-18 00:00:006050
 
0.7%
1993-03-01 00:00:003204
 
0.4%
2005-04-15 00:00:002343
 
0.3%
2000-05-10 00:00:002327
 
0.3%
2004-04-14 00:00:002290
 
0.3%
2005-08-23 00:00:002078
 
0.2%
Other values (5152)186307
20.9%
(Missing)93148
 
10.5%

EINGEZOGENAM_HH_JAHR
Real number (ℝ≥0)

MISSING

Distinct37
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean2003.729061
Minimum1900
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:48.977134image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1994
Q11997
median2003
Q32010
95-th percentile2015
Maximum2018
Range118
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.058203613
Coefficient of variation (CV)0.003522533935
Kurtosis-1.163031496
Mean2003.729061
Median Absolute Deviation (MAD)6
Skewness0.1567668637
Sum1638493335
Variance49.81823824
MonotonicityNot monotonic
2021-05-29T15:53:49.105766image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1994111439
 
12.5%
199766259
 
7.4%
201545926
 
5.2%
200445103
 
5.1%
201443992
 
4.9%
200141440
 
4.6%
200834959
 
3.9%
200534714
 
3.9%
200234547
 
3.9%
201233580
 
3.8%
Other values (27)325763
36.6%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
19001
 
< 0.1%
19041
 
< 0.1%
19711
 
< 0.1%
19841
 
< 0.1%
19868
< 0.1%
ValueCountFrequency (%)
2018565
 
0.1%
2017208
 
< 0.1%
201613699
 
1.5%
201545926
5.2%
201443992
4.9%

EWDICHTE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.939172219
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:49.204031image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.718995626
Coefficient of variation (CV)0.4363849891
Kurtosis-1.257676433
Mean3.939172219
Median Absolute Deviation (MAD)2
Skewness-0.3120349462
Sum3141415
Variance2.954945961
MonotonicityNot monotonic
2021-05-29T15:53:49.327884image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6201009
22.6%
5161209
18.1%
2139087
15.6%
4130716
14.7%
184051
9.4%
381409
9.1%
(Missing)93740
10.5%
ValueCountFrequency (%)
184051
9.4%
2139087
15.6%
381409
9.1%
4130716
14.7%
5161209
18.1%
ValueCountFrequency (%)
6201009
22.6%
5161209
18.1%
4130716
14.7%
381409
9.1%
2139087
15.6%

EXTSEL992
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)< 0.1%
Missing654153
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean33.33839236
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:49.497717image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q123
median34
Q343
95-th percentile56
Maximum56
Range55
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.53740758
Coefficient of variation (CV)0.4360560469
Kurtosis-0.614888915
Mean33.33839236
Median Absolute Deviation (MAD)11
Skewness-0.1370241946
Sum7903466
Variance211.3362192
MonotonicityNot monotonic
2021-05-29T15:53:49.663280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5619722
 
2.2%
3114987
 
1.7%
2713269
 
1.5%
3812856
 
1.4%
2312742
 
1.4%
3612059
 
1.4%
3511308
 
1.3%
559812
 
1.1%
348583
 
1.0%
506435
 
0.7%
Other values (46)115295
 
12.9%
(Missing)654153
73.4%
ValueCountFrequency (%)
11526
0.2%
22701
0.3%
32783
0.3%
41468
0.2%
51437
0.2%
ValueCountFrequency (%)
5619722
2.2%
559812
1.1%
544857
 
0.5%
535686
 
0.6%
521415
 
0.2%

FINANZ_ANLEGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.033328434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:49.786355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.529602515
Coefficient of variation (CV)0.5042653801
Kurtosis-1.478883143
Mean3.033328434
Median Absolute Deviation (MAD)1
Skewness-0.01148797371
Sum2703366
Variance2.339683855
MonotonicityNot monotonic
2021-05-29T15:53:49.908210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5234508
26.3%
1210812
23.7%
2161286
18.1%
4143597
16.1%
3141018
15.8%
ValueCountFrequency (%)
1210812
23.7%
2161286
18.1%
3141018
15.8%
4143597
16.1%
5234508
26.3%
ValueCountFrequency (%)
5234508
26.3%
4143597
16.1%
3141018
15.8%
2161286
18.1%
1210812
23.7%

FINANZ_HAUSBAUER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.075120537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:50.013762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.353248108
Coefficient of variation (CV)0.4400634355
Kurtosis-1.152085532
Mean3.075120537
Median Absolute Deviation (MAD)1
Skewness-0.02551465987
Sum2740612
Variance1.831280442
MonotonicityNot monotonic
2021-05-29T15:53:50.123322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3235184
26.4%
5183918
20.6%
2171847
19.3%
4157168
17.6%
1143104
16.1%
ValueCountFrequency (%)
1143104
16.1%
2171847
19.3%
3235184
26.4%
4157168
17.6%
5183918
20.6%
ValueCountFrequency (%)
5183918
20.6%
4157168
17.6%
3235184
26.4%
2171847
19.3%
1143104
16.1%

FINANZ_MINIMALIST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.074528091
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:50.227545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.321054925
Coefficient of variation (CV)0.4296772987
Kurtosis-1.068995334
Mean3.074528091
Median Absolute Deviation (MAD)1
Skewness-0.05160997378
Sum2740084
Variance1.745186115
MonotonicityNot monotonic
2021-05-29T15:53:50.348073image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3256276
28.8%
5168863
18.9%
4167182
18.8%
2159313
17.9%
1139587
15.7%
ValueCountFrequency (%)
1139587
15.7%
2159313
17.9%
3256276
28.8%
4167182
18.8%
5168863
18.9%
ValueCountFrequency (%)
5168863
18.9%
4167182
18.8%
3256276
28.8%
2159313
17.9%
1139587
15.7%

FINANZ_SPARER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821038777
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:50.435054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.464748804
Coefficient of variation (CV)0.519223208
Kurtosis-1.41317134
Mean2.821038777
Median Absolute Deviation (MAD)1
Skewness0.08897381631
Sum2514169
Variance2.145489059
MonotonicityNot monotonic
2021-05-29T15:53:50.531468image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1250213
28.1%
4201223
22.6%
2153051
17.2%
5146380
16.4%
3140354
15.7%
ValueCountFrequency (%)
1250213
28.1%
2153051
17.2%
3140354
15.7%
4201223
22.6%
5146380
16.4%
ValueCountFrequency (%)
5146380
16.4%
4201223
22.6%
3140354
15.7%
2153051
17.2%
1250213
28.1%

FINANZ_UNAUFFAELLIGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.874167014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:50.619915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.486731128
Coefficient of variation (CV)0.5172737428
Kurtosis-1.367426978
Mean2.874167014
Median Absolute Deviation (MAD)1
Skewness0.1751603062
Sum2561518
Variance2.210369448
MonotonicityNot monotonic
2021-05-29T15:53:50.710830image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1220597
24.8%
5200551
22.5%
2185749
20.8%
3170628
19.1%
4113696
12.8%
ValueCountFrequency (%)
1220597
24.8%
2185749
20.8%
3170628
19.1%
4113696
12.8%
5200551
22.5%
ValueCountFrequency (%)
5200551
22.5%
4113696
12.8%
3170628
19.1%
2185749
20.8%
1220597
24.8%

FINANZ_VORSORGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.401105899
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:50.797384image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.322134154
Coefficient of variation (CV)0.3887365445
Kurtosis-0.9682562328
Mean3.401105899
Median Absolute Deviation (MAD)1
Skewness-0.3628209658
Sum3031137
Variance1.748038722
MonotonicityNot monotonic
2021-05-29T15:53:50.890353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5242262
27.2%
3229842
25.8%
4198218
22.2%
2116530
13.1%
1104369
11.7%
ValueCountFrequency (%)
1104369
11.7%
2116530
13.1%
3229842
25.8%
4198218
22.2%
5242262
27.2%
ValueCountFrequency (%)
5242262
27.2%
4198218
22.2%
3229842
25.8%
2116530
13.1%
1104369
11.7%

FINANZTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.790586173
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:50.981116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.987875961
Coefficient of variation (CV)0.5244244216
Kurtosis-1.533410771
Mean3.790586173
Median Absolute Deviation (MAD)2
Skewness-0.2397764052
Sum3378250
Variance3.951650838
MonotonicityNot monotonic
2021-05-29T15:53:51.091634image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6290367
32.6%
1199572
22.4%
4130625
14.7%
2110867
 
12.4%
5106436
 
11.9%
353354
 
6.0%
ValueCountFrequency (%)
1199572
22.4%
2110867
12.4%
353354
 
6.0%
4130625
14.7%
5106436
11.9%
ValueCountFrequency (%)
6290367
32.6%
5106436
 
11.9%
4130625
14.7%
353354
 
6.0%
2110867
 
12.4%

FIRMENDICHTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.456028699
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:51.248200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.153415428
Coefficient of variation (CV)0.3337401186
Kurtosis-0.7473515938
Mean3.456028699
Median Absolute Deviation (MAD)1
Skewness-0.3887982899
Sum2758139
Variance1.330367149
MonotonicityNot monotonic
2021-05-29T15:53:51.408273image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4273637
30.7%
3181608
20.4%
5159217
17.9%
2139078
15.6%
144526
 
5.0%
(Missing)93155
 
10.5%
ValueCountFrequency (%)
144526
 
5.0%
2139078
15.6%
3181608
20.4%
4273637
30.7%
5159217
17.9%
ValueCountFrequency (%)
5159217
17.9%
4273637
30.7%
3181608
20.4%
2139078
15.6%
144526
 
5.0%

GEBAEUDETYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.798641227
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:51.554461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.65671341
Coefficient of variation (CV)0.949286884
Kurtosis-0.06997518803
Mean2.798641227
Median Absolute Deviation (MAD)0
Skewness1.256130407
Sum2233520
Variance7.058126142
MonotonicityNot monotonic
2021-05-29T15:53:51.720155image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1460465
51.7%
3178668
 
20.0%
8152476
 
17.1%
24935
 
0.6%
4900
 
0.1%
6628
 
0.1%
51
 
< 0.1%
(Missing)93148
 
10.5%
ValueCountFrequency (%)
1460465
51.7%
24935
 
0.6%
3178668
 
20.0%
4900
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
8152476
17.1%
6628
 
0.1%
51
 
< 0.1%
4900
 
0.1%
3178668
20.0%

GEBAEUDETYP_RASTER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.738306105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:51.867804image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9231926007
Coefficient of variation (CV)0.2469547904
Kurtosis0.1816332307
Mean3.738306105
Median Absolute Deviation (MAD)1
Skewness-0.5937383027
Sum2983415
Variance0.852284578
MonotonicityNot monotonic
2021-05-29T15:53:52.025389image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4359620
40.4%
3205330
23.0%
5159217
17.9%
258961
 
6.6%
114938
 
1.7%
(Missing)93155
 
10.5%
ValueCountFrequency (%)
114938
 
1.7%
258961
 
6.6%
3205330
23.0%
4359620
40.4%
5159217
17.9%
ValueCountFrequency (%)
5159217
17.9%
4359620
40.4%
3205330
23.0%
258961
 
6.6%
114938
 
1.7%

GEBURTSJAHR
Real number (ℝ≥0)

ZEROS

Distinct117
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1101.178533
Minimum0
Maximum2017
Zeros392318
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:52.171380image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1943
Q31970
95-th percentile1990
Maximum2017
Range2017
Interquartile range (IQR)1970

Descriptive statistics

Standard deviation976.5835513
Coefficient of variation (CV)0.88685306
Kurtosis-1.941480575
Mean1101.178533
Median Absolute Deviation (MAD)46
Skewness-0.240357039
Sum981393433
Variance953715.4326
MonotonicityNot monotonic
2021-05-29T15:53:52.307772image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0392318
44.0%
196711183
 
1.3%
196511090
 
1.2%
196610933
 
1.2%
197010883
 
1.2%
196410799
 
1.2%
196810792
 
1.2%
196310513
 
1.2%
196910360
 
1.2%
198010275
 
1.2%
Other values (107)402075
45.1%
ValueCountFrequency (%)
0392318
44.0%
19004
 
< 0.1%
19021
 
< 0.1%
19045
 
< 0.1%
19058
 
< 0.1%
ValueCountFrequency (%)
2017593
0.1%
2016167
 
< 0.1%
2015257
< 0.1%
2014124
 
< 0.1%
2013380
< 0.1%

GEMEINDETYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean24.18674798
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:52.413245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median22
Q330
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.03785174
Coefficient of variation (CV)0.4977044351
Kurtosis-0.7288214936
Mean24.18674798
Median Absolute Deviation (MAD)10
Skewness0.6001933634
Sum19202996
Variance144.9098745
MonotonicityNot monotonic
2021-05-29T15:53:52.512873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
22151307
17.0%
11150715
16.9%
40125571
14.1%
30122406
13.7%
12120145
13.5%
2172777
8.2%
5051026
 
5.7%
(Missing)97274
10.9%
ValueCountFrequency (%)
11150715
16.9%
12120145
13.5%
2172777
8.2%
22151307
17.0%
30122406
13.7%
ValueCountFrequency (%)
5051026
 
5.7%
40125571
14.1%
30122406
13.7%
22151307
17.0%
2172777
8.2%

GFK_URLAUBERTYP
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.350304107
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:52.607032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.525723215
Coefficient of variation (CV)0.4796703869
Kurtosis-1.23285991
Mean7.350304107
Median Absolute Deviation (MAD)3
Skewness-0.2416175217
Sum6515067
Variance12.43072419
MonotonicityNot monotonic
2021-05-29T15:53:52.705122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12138545
15.5%
5120126
13.5%
10109127
12.2%
888042
9.9%
1179740
8.9%
463770
7.2%
960614
6.8%
356007
6.3%
153600
 
6.0%
246702
 
5.2%
Other values (2)70094
7.9%
ValueCountFrequency (%)
153600
6.0%
246702
 
5.2%
356007
6.3%
463770
7.2%
5120126
13.5%
ValueCountFrequency (%)
12138545
15.5%
1179740
8.9%
10109127
12.2%
960614
6.8%
888042
9.9%

GREEN_AVANTGARDE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1966122881
Minimum0
Maximum1
Zeros715996
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:53.171502image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3974368799
Coefficient of variation (CV)2.021424417
Kurtosis0.3308896997
Mean0.1966122881
Median Absolute Deviation (MAD)0
Skewness1.526724912
Sum175225
Variance0.1579560735
MonotonicityNot monotonic
2021-05-29T15:53:53.263600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0715996
80.3%
1175225
 
19.7%
ValueCountFrequency (%)
0715996
80.3%
1175225
 
19.7%
ValueCountFrequency (%)
1175225
 
19.7%
0715996
80.3%

HEALTH_TYP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.792102071
Minimum-1
Maximum3
Zeros0
Zeros (%)0.0%
Negative111196
Negative (%)12.5%
Memory size6.8 MiB
2021-05-29T15:53:53.349832image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q11
median2
Q33
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.269061503
Coefficient of variation (CV)0.7081413069
Kurtosis0.2374971099
Mean1.792102071
Median Absolute Deviation (MAD)1
Skewness-1.070965119
Sum1597159
Variance1.610517098
MonotonicityNot monotonic
2021-05-29T15:53:53.443216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3310693
34.9%
2306944
34.4%
1162388
18.2%
-1111196
 
12.5%
ValueCountFrequency (%)
-1111196
 
12.5%
1162388
18.2%
2306944
34.4%
3310693
34.9%
ValueCountFrequency (%)
3310693
34.9%
2306944
34.4%
1162388
18.2%
-1111196
 
12.5%

HH_DELTA_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing107602
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean0.09274532649
Minimum0
Maximum1
Zeros710942
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:53.530338image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.290075401
Coefficient of variation (CV)3.127655182
Kurtosis5.884486001
Mean0.09274532649
Median Absolute Deviation (MAD)0
Skewness2.807930017
Sum72677
Variance0.08414373828
MonotonicityNot monotonic
2021-05-29T15:53:53.620830image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0710942
79.8%
172677
 
8.2%
(Missing)107602
 
12.1%
ValueCountFrequency (%)
0710942
79.8%
172677
 
8.2%
ValueCountFrequency (%)
172677
 
8.2%
0710942
79.8%

HH_EINKOMMEN_SCORE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing18348
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.207243207
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:53.703589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.624057021
Coefficient of variation (CV)0.3860145327
Kurtosis-1.049195412
Mean4.207243207
Median Absolute Deviation (MAD)1
Skewness-0.4985505452
Sum3672389
Variance2.637561207
MonotonicityNot monotonic
2021-05-29T15:53:53.795509image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6252775
28.4%
5201482
22.6%
2140817
15.8%
4139762
15.7%
384805
 
9.5%
153232
 
6.0%
(Missing)18348
 
2.1%
ValueCountFrequency (%)
153232
 
6.0%
2140817
15.8%
384805
9.5%
4139762
15.7%
5201482
22.6%
ValueCountFrequency (%)
6252775
28.4%
5201482
22.6%
4139762
15.7%
384805
 
9.5%
2140817
15.8%

INNENSTADT
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.549491461
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:53.880501image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.028919204
Coefficient of variation (CV)0.4459661528
Kurtosis-0.9225382692
Mean4.549491461
Median Absolute Deviation (MAD)2
Skewness0.03835712867
Sum3628133
Variance4.116513137
MonotonicityNot monotonic
2021-05-29T15:53:53.980119image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5147626
16.6%
4134067
15.0%
6111679
12.5%
2109048
12.2%
392818
10.4%
882870
9.3%
767463
7.6%
151910
 
5.8%
(Missing)93740
10.5%
ValueCountFrequency (%)
151910
 
5.8%
2109048
12.2%
392818
10.4%
4134067
15.0%
5147626
16.6%
ValueCountFrequency (%)
882870
9.3%
767463
7.6%
6111679
12.5%
5147626
16.6%
4134067
15.0%

KBA05_ALTER1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.071317079
Minimum0
Maximum9
Zeros102789
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:54.068920image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.53211977
Coefficient of variation (CV)0.7396838395
Kurtosis5.95524156
Mean2.071317079
Median Absolute Deviation (MAD)1
Skewness1.649317771
Sum1569845
Variance2.347390988
MonotonicityNot monotonic
2021-05-29T15:53:54.152794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2228625
25.7%
1167046
18.7%
3166129
18.6%
0102789
11.5%
478522
 
8.8%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0102789
11.5%
1167046
18.7%
2228625
25.7%
3166129
18.6%
478522
 
8.8%
ValueCountFrequency (%)
914786
 
1.7%
478522
 
8.8%
3166129
18.6%
2228625
25.7%
1167046
18.7%

KBA05_ALTER2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.149416082
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:54.238629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.33867585
Coefficient of variation (CV)0.4250552532
Kurtosis5.11928671
Mean3.149416082
Median Absolute Deviation (MAD)1
Skewness1.484007539
Sum2386933
Variance1.792053031
MonotonicityNot monotonic
2021-05-29T15:53:54.333405image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3288107
32.3%
2165806
18.6%
4159928
17.9%
572236
 
8.1%
157034
 
6.4%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
157034
 
6.4%
2165806
18.6%
3288107
32.3%
4159928
17.9%
572236
 
8.1%
ValueCountFrequency (%)
914786
 
1.7%
572236
 
8.1%
4159928
17.9%
3288107
32.3%
2165806
18.6%

KBA05_ALTER3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.112195984
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:54.421297image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.34970538
Coefficient of variation (CV)0.4336826429
Kurtosis5.080653676
Mean3.112195984
Median Absolute Deviation (MAD)1
Skewness1.460109044
Sum2358724
Variance1.821704612
MonotonicityNot monotonic
2021-05-29T15:53:54.515749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3292436
32.8%
2158737
17.8%
4156194
17.5%
168157
 
7.6%
567587
 
7.6%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
168157
 
7.6%
2158737
17.8%
3292436
32.8%
4156194
17.5%
567587
 
7.6%
ValueCountFrequency (%)
914786
 
1.7%
567587
 
7.6%
4156194
17.5%
3292436
32.8%
2158737
17.8%

KBA05_ALTER4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.91948906
Minimum0
Maximum9
Zeros50127
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:54.606564image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.50037217
Coefficient of variation (CV)0.5139160103
Kurtosis3.754077481
Mean2.91948906
Median Absolute Deviation (MAD)1
Skewness0.8746712873
Sum2212672
Variance2.251116648
MonotonicityNot monotonic
2021-05-29T15:53:54.695185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3299085
33.6%
4144073
16.2%
2138597
15.6%
156822
 
6.4%
554407
 
6.1%
050127
 
5.6%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
050127
 
5.6%
156822
 
6.4%
2138597
15.6%
3299085
33.6%
4144073
16.2%
ValueCountFrequency (%)
914786
 
1.7%
554407
 
6.1%
4144073
16.2%
3299085
33.6%
2138597
15.6%

KBA05_ANHANG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.106609473
Minimum0
Maximum9
Zeros266145
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:54.779624image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.427606175
Coefficient of variation (CV)1.290072252
Kurtosis14.58671992
Mean1.106609473
Median Absolute Deviation (MAD)1
Skewness3.205719197
Sum838696
Variance2.038059392
MonotonicityNot monotonic
2021-05-29T15:53:54.867382image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1323472
36.3%
0266145
29.9%
381525
 
9.1%
272878
 
8.2%
913877
 
1.6%
(Missing)133324
15.0%
ValueCountFrequency (%)
0266145
29.9%
1323472
36.3%
272878
 
8.2%
381525
 
9.1%
913877
 
1.6%
ValueCountFrequency (%)
913877
 
1.6%
381525
 
9.1%
272878
 
8.2%
1323472
36.3%
0266145
29.9%

KBA05_ANTG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.494276927
Minimum0
Maximum4
Zeros261049
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:54.953169image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.40396086
Coefficient of variation (CV)0.9395586821
Kurtosis-1.126245837
Mean1.494276927
Median Absolute Deviation (MAD)1
Skewness0.4585563122
Sum1132508
Variance1.971106097
MonotonicityNot monotonic
2021-05-29T15:53:55.046763image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0261049
29.3%
1161224
18.1%
2126725
14.2%
3117762
13.2%
491137
 
10.2%
(Missing)133324
15.0%
ValueCountFrequency (%)
0261049
29.3%
1161224
18.1%
2126725
14.2%
3117762
13.2%
491137
 
10.2%
ValueCountFrequency (%)
491137
 
10.2%
3117762
13.2%
2126725
14.2%
1161224
18.1%
0261049
29.3%

KBA05_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.265583582
Minimum0
Maximum4
Zeros292538
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:55.143225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.245177641
Coefficient of variation (CV)0.9838762598
Kurtosis-1.011560337
Mean1.265583582
Median Absolute Deviation (MAD)1
Skewness0.5130422504
Sum959182
Variance1.550467358
MonotonicityNot monotonic
2021-05-29T15:53:55.248324image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0292538
32.8%
1163751
18.4%
2138273
15.5%
3134455
15.1%
428880
 
3.2%
(Missing)133324
15.0%
ValueCountFrequency (%)
0292538
32.8%
1163751
18.4%
2138273
15.5%
3134455
15.1%
428880
 
3.2%
ValueCountFrequency (%)
428880
 
3.2%
3134455
15.1%
2138273
15.5%
1163751
18.4%
0292538
32.8%

KBA05_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.6245254962
Minimum0
Maximum3
Zeros511545
Zeros (%)57.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:55.335568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.013443059
Coefficient of variation (CV)1.622740889
Kurtosis0.3810990117
Mean0.6245254962
Median Absolute Deviation (MAD)0
Skewness1.359646839
Sum473326
Variance1.027066834
MonotonicityNot monotonic
2021-05-29T15:53:55.421277image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0511545
57.4%
192748
 
10.4%
280234
 
9.0%
373370
 
8.2%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
0511545
57.4%
192748
 
10.4%
280234
 
9.0%
373370
 
8.2%
ValueCountFrequency (%)
373370
 
8.2%
280234
 
9.0%
192748
 
10.4%
0511545
57.4%

KBA05_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.3059267948
Minimum0
Maximum2
Zeros600171
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:55.506083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6387249587
Coefficient of variation (CV)2.087835945
Kurtosis2.035951021
Mean0.3059267948
Median Absolute Deviation (MAD)0
Skewness1.879539391
Sum231861
Variance0.4079695729
MonotonicityNot monotonic
2021-05-29T15:53:55.597680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0600171
67.3%
183591
 
9.4%
274135
 
8.3%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
0600171
67.3%
183591
 
9.4%
274135
 
8.3%
ValueCountFrequency (%)
274135
 
8.3%
183591
 
9.4%
0600171
67.3%

KBA05_AUTOQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.207993962
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:55.687613image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.400238463
Coefficient of variation (CV)0.436484133
Kurtosis3.810047352
Mean3.207993962
Median Absolute Deviation (MAD)1
Skewness1.116063606
Sum2431329
Variance1.960667754
MonotonicityNot monotonic
2021-05-29T15:53:55.778587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3258013
29.0%
4194706
21.8%
2123320
13.8%
184157
 
9.4%
582910
 
9.3%
914791
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
184157
 
9.4%
2123320
13.8%
3258013
29.0%
4194706
21.8%
582910
 
9.3%
ValueCountFrequency (%)
914791
 
1.7%
582910
 
9.3%
4194706
21.8%
3258013
29.0%
2123320
13.8%

KBA05_BAUMAX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.389551615
Minimum0
Maximum5
Zeros343200
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:55.862417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.779482931
Coefficient of variation (CV)1.280616648
Kurtosis-0.3354147408
Mean1.389551615
Median Absolute Deviation (MAD)1
Skewness1.087923604
Sum1053137
Variance3.166559503
MonotonicityNot monotonic
2021-05-29T15:53:55.954638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0343200
38.5%
1208417
23.4%
598923
 
11.1%
359955
 
6.7%
437718
 
4.2%
29684
 
1.1%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
0343200
38.5%
1208417
23.4%
29684
 
1.1%
359955
 
6.7%
437718
 
4.2%
ValueCountFrequency (%)
598923
11.1%
437718
 
4.2%
359955
 
6.7%
29684
 
1.1%
1208417
23.4%

KBA05_CCM1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.082453157
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:56.037893image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.349762949
Coefficient of variation (CV)0.4378859564
Kurtosis5.202584146
Mean3.082453157
Median Absolute Deviation (MAD)1
Skewness1.50948481
Sum2336182
Variance1.821860017
MonotonicityNot monotonic
2021-05-29T15:53:56.131425image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3290001
32.5%
2170860
19.2%
4148741
16.7%
167781
 
7.6%
565728
 
7.4%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
167781
 
7.6%
2170860
19.2%
3290001
32.5%
4148741
16.7%
565728
 
7.4%
ValueCountFrequency (%)
914786
 
1.7%
565728
 
7.4%
4148741
16.7%
3290001
32.5%
2170860
19.2%

KBA05_CCM2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.115361322
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:56.217560image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.323140803
Coefficient of variation (CV)0.4247150383
Kurtosis5.635892433
Mean3.115361322
Median Absolute Deviation (MAD)1
Skewness1.544584328
Sum2361123
Variance1.750701586
MonotonicityNot monotonic
2021-05-29T15:53:56.310428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3301075
33.8%
4163350
18.3%
2157818
17.7%
162138
 
7.0%
558730
 
6.6%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
162138
 
7.0%
2157818
17.7%
3301075
33.8%
4163350
18.3%
558730
 
6.6%
ValueCountFrequency (%)
914786
 
1.7%
558730
 
6.6%
4163350
18.3%
3301075
33.8%
2157818
17.7%

KBA05_CCM3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.144478735
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:56.396601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.351332526
Coefficient of variation (CV)0.4297477068
Kurtosis4.903103176
Mean3.144478735
Median Absolute Deviation (MAD)1
Skewness1.410426798
Sum2383191
Variance1.826099595
MonotonicityNot monotonic
2021-05-29T15:53:56.488579image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3285942
32.1%
4166348
18.7%
2154038
17.3%
570510
 
7.9%
166273
 
7.4%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
166273
 
7.4%
2154038
17.3%
3285942
32.1%
4166348
18.7%
570510
 
7.9%
ValueCountFrequency (%)
914786
 
1.7%
570510
 
7.9%
4166348
18.7%
3285942
32.1%
2154038
17.3%

KBA05_CCM4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.358658235
Minimum0
Maximum9
Zeros274064
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:56.578453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.621032055
Coefficient of variation (CV)1.19311245
Kurtosis7.36516988
Mean1.358658235
Median Absolute Deviation (MAD)1
Skewness2.215730085
Sum1029723
Variance2.627744924
MonotonicityNot monotonic
2021-05-29T15:53:56.677037image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0274064
30.8%
1214682
24.1%
2128431
14.4%
378631
 
8.8%
447303
 
5.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0274064
30.8%
1214682
24.1%
2128431
14.4%
378631
 
8.8%
447303
 
5.3%
ValueCountFrequency (%)
914786
 
1.7%
447303
 
5.3%
378631
 
8.8%
2128431
14.4%
1214682
24.1%

KBA05_DIESEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.147869697
Minimum0
Maximum9
Zeros64600
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:56.773770image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.427566055
Coefficient of variation (CV)0.6646427651
Kurtosis8.147408728
Mean2.147869697
Median Absolute Deviation (MAD)1
Skewness1.992599193
Sum1627864
Variance2.037944841
MonotonicityNot monotonic
2021-05-29T15:53:56.873949image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2294616
33.1%
3163675
18.4%
1155449
17.4%
464771
 
7.3%
064600
 
7.2%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
064600
 
7.2%
1155449
17.4%
2294616
33.1%
3163675
18.4%
464771
 
7.3%
ValueCountFrequency (%)
914786
 
1.7%
464771
 
7.3%
3163675
18.4%
2294616
33.1%
1155449
17.4%

KBA05_FRAU
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.110022866
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:56.969406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.349793845
Coefficient of variation (CV)0.4340141225
Kurtosis5.103451794
Mean3.110022866
Median Absolute Deviation (MAD)1
Skewness1.468568012
Sum2357077
Variance1.821943424
MonotonicityNot monotonic
2021-05-29T15:53:57.078263image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3303220
34.0%
2153893
17.3%
4146721
16.5%
570099
 
7.9%
169178
 
7.8%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
169178
 
7.8%
2153893
17.3%
3303220
34.0%
4146721
16.5%
570099
 
7.9%
ValueCountFrequency (%)
914786
 
1.7%
570099
 
7.9%
4146721
16.5%
3303220
34.0%
2153893
17.3%

KBA05_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.158579596
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:57.181750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3295374
Coefficient of variation (CV)0.4209288891
Kurtosis-1.106488204
Mean3.158579596
Median Absolute Deviation (MAD)1
Skewness-0.1178680345
Sum2393878
Variance1.767669699
MonotonicityNot monotonic
2021-05-29T15:53:57.295324image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3197833
22.2%
5158971
17.8%
4155301
17.4%
2138528
15.5%
1107264
12.0%
(Missing)133324
15.0%
ValueCountFrequency (%)
1107264
12.0%
2138528
15.5%
3197833
22.2%
4155301
17.4%
5158971
17.8%
ValueCountFrequency (%)
5158971
17.8%
4155301
17.4%
3197833
22.2%
2138528
15.5%
1107264
12.0%

KBA05_HERST1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.47634705
Minimum0
Maximum9
Zeros75567
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:57.402534image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.635225823
Coefficient of variation (CV)0.6603379051
Kurtosis3.09938565
Mean2.47634705
Median Absolute Deviation (MAD)1
Skewness1.15420156
Sum1876816
Variance2.673963493
MonotonicityNot monotonic
2021-05-29T15:53:57.499410image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2225687
25.3%
3177138
19.9%
1118781
13.3%
487517
 
9.8%
075567
 
8.5%
558421
 
6.6%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
075567
 
8.5%
1118781
13.3%
2225687
25.3%
3177138
19.9%
487517
 
9.8%
ValueCountFrequency (%)
914786
 
1.7%
558421
 
6.6%
487517
 
9.8%
3177138
19.9%
2225687
25.3%

KBA05_HERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.103159136
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:57.593329image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.316661495
Coefficient of variation (CV)0.4242971235
Kurtosis5.826292731
Mean3.103159136
Median Absolute Deviation (MAD)1
Skewness1.622613982
Sum2351875
Variance1.733597494
MonotonicityNot monotonic
2021-05-29T15:53:57.688713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3301932
33.9%
2172981
19.4%
4152039
17.1%
560682
 
6.8%
155477
 
6.2%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
155477
 
6.2%
2172981
19.4%
3301932
33.9%
4152039
17.1%
560682
 
6.8%
ValueCountFrequency (%)
914786
 
1.7%
560682
 
6.8%
4152039
17.1%
3301932
33.9%
2172981
19.4%

KBA05_HERST3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.035828087
Minimum0
Maximum9
Zeros16789
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:57.774408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.394467658
Coefficient of variation (CV)0.4593368324
Kurtosis4.812019706
Mean3.035828087
Median Absolute Deviation (MAD)1
Skewness1.252406311
Sum2300845
Variance1.944540048
MonotonicityNot monotonic
2021-05-29T15:53:57.860069image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3298419
33.5%
2159475
17.9%
4147284
16.5%
560821
 
6.8%
160323
 
6.8%
016789
 
1.9%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
016789
 
1.9%
160323
 
6.8%
2159475
17.9%
3298419
33.5%
4147284
16.5%
ValueCountFrequency (%)
914786
 
1.7%
560821
 
6.8%
4147284
16.5%
3298419
33.5%
2159475
17.9%

KBA05_HERST4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.955032148
Minimum0
Maximum9
Zeros30739
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:57.943576image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.496686498
Coefficient of variation (CV)0.5064873824
Kurtosis3.502252877
Mean2.955032148
Median Absolute Deviation (MAD)1
Skewness0.9979404135
Sum2239610
Variance2.240070472
MonotonicityNot monotonic
2021-05-29T15:53:58.026831image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3259533
29.1%
2164362
18.4%
4142648
16.0%
175131
 
8.4%
570698
 
7.9%
030739
 
3.4%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
030739
 
3.4%
175131
 
8.4%
2164362
18.4%
3259533
29.1%
4142648
16.0%
ValueCountFrequency (%)
914786
 
1.7%
570698
 
7.9%
4142648
16.0%
3259533
29.1%
2164362
18.4%

KBA05_HERST5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.923587242
Minimum0
Maximum9
Zeros47295
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:58.108982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.539973249
Coefficient of variation (CV)0.5267409936
Kurtosis3.110544784
Mean2.923587242
Median Absolute Deviation (MAD)1
Skewness0.8401280885
Sum2215778
Variance2.371517607
MonotonicityNot monotonic
2021-05-29T15:53:58.192778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3242170
27.2%
2164321
18.4%
4159261
17.9%
565111
 
7.3%
164953
 
7.3%
047295
 
5.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
047295
 
5.3%
164953
 
7.3%
2164321
18.4%
3242170
27.2%
4159261
17.9%
ValueCountFrequency (%)
914786
 
1.7%
565111
 
7.3%
4159261
17.9%
3242170
27.2%
2164321
18.4%

KBA05_HERSTTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.836532498
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:58.272451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.491578283
Coefficient of variation (CV)0.5258456527
Kurtosis4.075225324
Mean2.836532498
Median Absolute Deviation (MAD)1
Skewness1.40012902
Sum2263760
Variance2.224805773
MonotonicityNot monotonic
2021-05-29T15:53:58.363755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3275428
30.9%
1162386
18.2%
2157856
17.7%
4120193
13.5%
565321
 
7.3%
916889
 
1.9%
(Missing)93148
 
10.5%
ValueCountFrequency (%)
1162386
18.2%
2157856
17.7%
3275428
30.9%
4120193
13.5%
565321
 
7.3%
ValueCountFrequency (%)
916889
 
1.9%
565321
 
7.3%
4120193
13.5%
3275428
30.9%
2157856
17.7%

KBA05_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.097802208
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:58.449269image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.396567291
Coefficient of variation (CV)0.4508251972
Kurtosis4.262919003
Mean3.097802208
Median Absolute Deviation (MAD)1
Skewness1.319590099
Sum2347815
Variance1.950400199
MonotonicityNot monotonic
2021-05-29T15:53:58.539356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3283526
31.8%
2151394
17.0%
4143668
16.1%
183978
 
9.4%
580545
 
9.0%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
183978
 
9.4%
2151394
17.0%
3283526
31.8%
4143668
16.1%
580545
 
9.0%
ValueCountFrequency (%)
914786
 
1.7%
580545
 
9.0%
4143668
16.1%
3283526
31.8%
2151394
17.0%

KBA05_KRSHERST1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.049426241
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:58.627348image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.308094572
Coefficient of variation (CV)0.428964162
Kurtosis6.300932374
Mean3.049426241
Median Absolute Deviation (MAD)1
Skewness1.671382619
Sum2311151
Variance1.71111141
MonotonicityNot monotonic
2021-05-29T15:53:58.731773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3299103
33.6%
2174764
19.6%
4161780
18.2%
163300
 
7.1%
544164
 
5.0%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
163300
 
7.1%
2174764
19.6%
3299103
33.6%
4161780
18.2%
544164
 
5.0%
ValueCountFrequency (%)
914786
 
1.7%
544164
 
5.0%
4161780
18.2%
3299103
33.6%
2174764
19.6%

KBA05_KRSHERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.078737612
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:58.841999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.345042929
Coefficient of variation (CV)0.4368813124
Kurtosis5.334440767
Mean3.078737612
Median Absolute Deviation (MAD)1
Skewness1.505259342
Sum2333366
Variance1.80914048
MonotonicityNot monotonic
2021-05-29T15:53:58.954588image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3297896
33.4%
2160002
18.0%
4152437
17.1%
171757
 
8.1%
561019
 
6.8%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
171757
 
8.1%
2160002
18.0%
3297896
33.4%
4152437
17.1%
561019
 
6.8%
ValueCountFrequency (%)
914786
 
1.7%
561019
 
6.8%
4152437
17.1%
3297896
33.4%
2160002
18.0%

KBA05_KRSHERST3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.153801902
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:59.055772image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.362344591
Coefficient of variation (CV)0.4319689799
Kurtosis4.653006626
Mean3.153801902
Median Absolute Deviation (MAD)1
Skewness1.395410837
Sum2390257
Variance1.855982783
MonotonicityNot monotonic
2021-05-29T15:53:59.163157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3293298
32.9%
2154609
17.3%
4147717
16.6%
582429
 
9.2%
165058
 
7.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
165058
 
7.3%
2154609
17.3%
3293298
32.9%
4147717
16.6%
582429
 
9.2%
ValueCountFrequency (%)
914786
 
1.7%
582429
 
9.2%
4147717
16.6%
3293298
32.9%
2154609
17.3%

KBA05_KRSKLEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.12791184
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:59.263812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.159440727
Coefficient of variation (CV)0.5448725389
Kurtosis21.32571648
Mean2.12791184
Median Absolute Deviation (MAD)0
Skewness3.955433437
Sum1612738
Variance1.3443028
MonotonicityNot monotonic
2021-05-29T15:53:59.370405image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2436383
49.0%
1156643
 
17.6%
3150085
 
16.8%
914786
 
1.7%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
1156643
 
17.6%
2436383
49.0%
3150085
 
16.8%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
3150085
 
16.8%
2436383
49.0%
1156643
 
17.6%

KBA05_KRSOBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.102949345
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:59.469432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.145852293
Coefficient of variation (CV)0.5448786938
Kurtosis22.84344863
Mean2.102949345
Median Absolute Deviation (MAD)0
Skewness4.155247896
Sum1593819
Variance1.312977476
MonotonicityNot monotonic
2021-05-29T15:53:59.574745image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2464492
52.1%
1152048
 
17.1%
3126571
 
14.2%
914786
 
1.7%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
1152048
 
17.1%
2464492
52.1%
3126571
 
14.2%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
3126571
 
14.2%
2464492
52.1%
1152048
 
17.1%

KBA05_KRSVAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.135488068
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:59.673548image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.126434139
Coefficient of variation (CV)0.5274832279
Kurtosis24.13564751
Mean2.135488068
Median Absolute Deviation (MAD)0
Skewness4.318529662
Sum1618480
Variance1.26885387
MonotonicityNot monotonic
2021-05-29T15:53:59.779086image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2492053
55.2%
1125937
 
14.1%
3125121
 
14.0%
914786
 
1.7%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
1125937
 
14.1%
2492053
55.2%
3125121
 
14.0%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
3125121
 
14.0%
2492053
55.2%
1125937
 
14.1%

KBA05_KRSZUL
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.065225222
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:53:59.865251image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.196109815
Coefficient of variation (CV)0.5791667671
Kurtosis19.29307973
Mean2.065225222
Median Absolute Deviation (MAD)0
Skewness3.70497335
Sum1565228
Variance1.43067869
MonotonicityNot monotonic
2021-05-29T15:53:59.955413image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2380095
42.6%
1208542
23.4%
3154474
17.3%
914786
 
1.7%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
1208542
23.4%
2380095
42.6%
3154474
17.3%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
3154474
17.3%
2380095
42.6%
1208542
23.4%

KBA05_KW1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.093549651
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:00.040845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.376705634
Coefficient of variation (CV)0.4450245799
Kurtosis4.622012925
Mean3.093549651
Median Absolute Deviation (MAD)1
Skewness1.374340187
Sum2344592
Variance1.895318403
MonotonicityNot monotonic
2021-05-29T15:54:00.130667image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3274856
30.8%
4160522
18.0%
2160221
18.0%
178285
 
8.8%
569227
 
7.8%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
178285
 
8.8%
2160221
18.0%
3274856
30.8%
4160522
18.0%
569227
 
7.8%
ValueCountFrequency (%)
914786
 
1.7%
569227
 
7.8%
4160522
18.0%
3274856
30.8%
2160221
18.0%

KBA05_KW2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.113673758
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:00.215427image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333745429
Coefficient of variation (CV)0.4283510519
Kurtosis5.42141859
Mean3.113673758
Median Absolute Deviation (MAD)1
Skewness1.519288668
Sum2359844
Variance1.778876871
MonotonicityNot monotonic
2021-05-29T15:54:00.309546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3306246
34.4%
2155172
17.4%
4152081
17.1%
564938
 
7.3%
164674
 
7.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
164674
 
7.3%
2155172
17.4%
3306246
34.4%
4152081
17.1%
564938
 
7.3%
ValueCountFrequency (%)
914786
 
1.7%
564938
 
7.3%
4152081
17.1%
3306246
34.4%
2155172
17.4%

KBA05_KW3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.551242451
Minimum0
Maximum9
Zeros206843
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:00.409593image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.607972827
Coefficient of variation (CV)1.036570928
Kurtosis6.73297499
Mean1.551242451
Median Absolute Deviation (MAD)1
Skewness2.051198073
Sum1175682
Variance2.585576613
MonotonicityNot monotonic
2021-05-29T15:54:00.489828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1233518
26.2%
0206843
23.2%
2160776
18.0%
380358
 
9.0%
461616
 
6.9%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0206843
23.2%
1233518
26.2%
2160776
18.0%
380358
 
9.0%
461616
 
6.9%
ValueCountFrequency (%)
914786
 
1.7%
461616
 
6.9%
380358
 
9.0%
2160776
18.0%
1233518
26.2%

KBA05_MAXAH
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.386927247
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:00.567463image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493681605
Coefficient of variation (CV)0.441013785
Kurtosis1.866738547
Mean3.386927247
Median Absolute Deviation (MAD)1
Skewness0.8931149915
Sum2566942
Variance2.231084737
MonotonicityNot monotonic
2021-05-29T15:54:00.654558image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3209157
23.5%
5195036
21.9%
2185708
20.8%
4102197
11.5%
151013
 
5.7%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
151013
 
5.7%
2185708
20.8%
3209157
23.5%
4102197
11.5%
5195036
21.9%
ValueCountFrequency (%)
914786
 
1.7%
5195036
21.9%
4102197
11.5%
3209157
23.5%
2185708
20.8%

KBA05_MAXBJ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.444594714
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:01.222621image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.496390809
Coefficient of variation (CV)0.612122247
Kurtosis4.773642099
Mean2.444594714
Median Absolute Deviation (MAD)1
Skewness1.61456816
Sum1852751
Variance2.239185454
MonotonicityNot monotonic
2021-05-29T15:54:01.314446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1256917
28.8%
4187538
21.0%
2183360
20.6%
3115296
12.9%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
1256917
28.8%
2183360
20.6%
3115296
12.9%
4187538
21.0%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
4187538
21.0%
3115296
12.9%
2183360
20.6%
1256917
28.8%

KBA05_MAXHERST
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.869009905
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:01.397182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.403278056
Coefficient of variation (CV)0.4891157935
Kurtosis5.020068157
Mean2.869009905
Median Absolute Deviation (MAD)1
Skewness1.667795932
Sum2174414
Variance1.969189303
MonotonicityNot monotonic
2021-05-29T15:54:01.489056image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2270729
30.4%
3209450
23.5%
4116436
13.1%
181673
 
9.2%
564823
 
7.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
181673
 
9.2%
2270729
30.4%
3209450
23.5%
4116436
13.1%
564823
 
7.3%
ValueCountFrequency (%)
914786
 
1.7%
564823
 
7.3%
4116436
13.1%
3209450
23.5%
2270729
30.4%

KBA05_MAXSEG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.2782766
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:01.573904image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.318311175
Coefficient of variation (CV)0.5786440395
Kurtosis10.70859684
Mean2.2782766
Median Absolute Deviation (MAD)1
Skewness2.578766503
Sum1726699
Variance1.737944354
MonotonicityNot monotonic
2021-05-29T15:54:01.663011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2299180
33.6%
1202835
22.8%
3171954
19.3%
469142
 
7.8%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
1202835
22.8%
2299180
33.6%
3171954
19.3%
469142
 
7.8%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
469142
 
7.8%
3171954
19.3%
2299180
33.6%
1202835
22.8%

KBA05_MAXVORB
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.218265807
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:01.751783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.209227324
Coefficient of variation (CV)0.5451228256
Kurtosis16.60002006
Mean2.218265807
Median Absolute Deviation (MAD)1
Skewness3.283358624
Sum1681217
Variance1.462230722
MonotonicityNot monotonic
2021-05-29T15:54:01.848130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2323300
36.3%
3240866
27.0%
1178945
20.1%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
1178945
20.1%
2323300
36.3%
3240866
27.0%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
3240866
27.0%
2323300
36.3%
1178945
20.1%

KBA05_MOD1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.437353625
Minimum0
Maximum9
Zeros286087
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:01.941481image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.643943428
Coefficient of variation (CV)1.143729282
Kurtosis6.428397969
Mean1.437353625
Median Absolute Deviation (MAD)1
Skewness1.990841241
Sum1089366
Variance2.702549996
MonotonicityNot monotonic
2021-05-29T15:54:02.036744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0286087
32.1%
2180755
20.3%
1140854
15.8%
387732
 
9.8%
447683
 
5.4%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0286087
32.1%
1140854
15.8%
2180755
20.3%
387732
 
9.8%
447683
 
5.4%
ValueCountFrequency (%)
914786
 
1.7%
447683
 
5.4%
387732
9.8%
2180755
20.3%
1140854
15.8%

KBA05_MOD2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.091425352
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:02.126146image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328794005
Coefficient of variation (CV)0.4298321497
Kurtosis5.625205848
Mean3.091425352
Median Absolute Deviation (MAD)1
Skewness1.551614525
Sum2342982
Variance1.765693507
MonotonicityNot monotonic
2021-05-29T15:54:02.222941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3301207
33.8%
2160999
18.1%
4157456
17.7%
165695
 
7.4%
557754
 
6.5%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
165695
 
7.4%
2160999
18.1%
3301207
33.8%
4157456
17.7%
557754
 
6.5%
ValueCountFrequency (%)
914786
 
1.7%
557754
 
6.5%
4157456
17.7%
3301207
33.8%
2160999
18.1%

KBA05_MOD3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.096056588
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:02.308418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.350524022
Coefficient of variation (CV)0.4362077964
Kurtosis5.111468739
Mean3.096056588
Median Absolute Deviation (MAD)1
Skewness1.470423137
Sum2346492
Variance1.823915134
MonotonicityNot monotonic
2021-05-29T15:54:02.396255image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3276748
31.1%
2170403
19.1%
4165736
18.6%
167924
 
7.6%
562300
 
7.0%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
167924
 
7.6%
2170403
19.1%
3276748
31.1%
4165736
18.6%
562300
 
7.0%
ValueCountFrequency (%)
914786
 
1.7%
562300
 
7.0%
4165736
18.6%
3276748
31.1%
2170403
19.1%

KBA05_MOD4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.832566958
Minimum0
Maximum9
Zeros50590
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:02.481476image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.612726735
Coefficient of variation (CV)0.5693516725
Kurtosis2.432672245
Mean2.832566958
Median Absolute Deviation (MAD)1
Skewness0.834866862
Sum2146794
Variance2.600887522
MonotonicityNot monotonic
2021-05-29T15:54:02.562360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3223139
25.0%
2160094
18.0%
4130801
14.7%
197881
11.0%
580606
 
9.0%
050590
 
5.7%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
050590
 
5.7%
197881
11.0%
2160094
18.0%
3223139
25.0%
4130801
14.7%
ValueCountFrequency (%)
914786
 
1.7%
580606
 
9.0%
4130801
14.7%
3223139
25.0%
2160094
18.0%

KBA05_MOD8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.379413034
Minimum0
Maximum9
Zeros221889
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:02.641831image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.464158631
Coefficient of variation (CV)1.061435984
Kurtosis11.73073005
Mean1.379413034
Median Absolute Deviation (MAD)1
Skewness2.67876022
Sum1045453
Variance2.143760497
MonotonicityNot monotonic
2021-05-29T15:54:02.720131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0221889
24.9%
1217315
24.4%
2216657
24.3%
387250
 
9.8%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0221889
24.9%
1217315
24.4%
2216657
24.3%
387250
 
9.8%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
387250
 
9.8%
2216657
24.3%
1217315
24.4%
0221889
24.9%

KBA05_MODTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.006466827
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:02.796606image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255616012
Coefficient of variation (CV)0.4176384054
Kurtosis-0.7025907215
Mean3.006466827
Median Absolute Deviation (MAD)1
Skewness-0.1950516299
Sum2399380
Variance1.576571568
MonotonicityNot monotonic
2021-05-29T15:54:02.885475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3267178
30.0%
4226782
25.4%
1151667
17.0%
277576
 
8.7%
565321
 
7.3%
69549
 
1.1%
(Missing)93148
 
10.5%
ValueCountFrequency (%)
1151667
17.0%
277576
 
8.7%
3267178
30.0%
4226782
25.4%
565321
 
7.3%
ValueCountFrequency (%)
69549
 
1.1%
565321
 
7.3%
4226782
25.4%
3267178
30.0%
277576
 
8.7%

KBA05_MOTOR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.649656879
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:02.966108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.287217353
Coefficient of variation (CV)0.4858052992
Kurtosis9.1844137
Mean2.649656879
Median Absolute Deviation (MAD)1
Skewness2.143872587
Sum2008167
Variance1.656928514
MonotonicityNot monotonic
2021-05-29T15:54:03.057775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3289858
32.5%
2222119
24.9%
1121085
13.6%
4110049
 
12.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
1121085
13.6%
2222119
24.9%
3289858
32.5%
4110049
 
12.3%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
4110049
 
12.3%
3289858
32.5%
2222119
24.9%
1121085
13.6%

KBA05_MOTRAD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.163317707
Minimum0
Maximum9
Zeros204268
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:03.144511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.359158799
Coefficient of variation (CV)1.16834704
Kurtosis16.75147053
Mean1.163317707
Median Absolute Deviation (MAD)0
Skewness3.435602854
Sum881675
Variance1.84731264
MonotonicityNot monotonic
2021-05-29T15:54:03.225645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1392117
44.0%
0204268
22.9%
274250
 
8.3%
374050
 
8.3%
913212
 
1.5%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
0204268
22.9%
1392117
44.0%
274250
 
8.3%
374050
 
8.3%
913212
 
1.5%
ValueCountFrequency (%)
913212
 
1.5%
374050
 
8.3%
274250
 
8.3%
1392117
44.0%
0204268
22.9%

KBA05_SEG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.233540969
Minimum0
Maximum9
Zeros246416
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:03.307908image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.441902818
Coefficient of variation (CV)1.168913603
Kurtosis13.79186084
Mean1.233540969
Median Absolute Deviation (MAD)1
Skewness3.025098484
Sum934897
Variance2.079083738
MonotonicityNot monotonic
2021-05-29T15:54:03.390668image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1251176
28.2%
0246416
27.6%
2185910
20.9%
359609
 
6.7%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0246416
27.6%
1251176
28.2%
2185910
20.9%
359609
 
6.7%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
359609
 
6.7%
2185910
20.9%
1251176
28.2%
0246416
27.6%

KBA05_SEG10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.005177485
Minimum0
Maximum9
Zeros111769
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:03.471461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.508828219
Coefficient of variation (CV)0.7524661684
Kurtosis6.803474938
Mean2.005177485
Median Absolute Deviation (MAD)1
Skewness1.788125524
Sum1519718
Variance2.276562594
MonotonicityNot monotonic
2021-05-29T15:54:03.552962image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2267744
30.0%
1151524
17.0%
3148664
16.7%
0111769
12.5%
463410
 
7.1%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0111769
12.5%
1151524
17.0%
2267744
30.0%
3148664
16.7%
463410
 
7.1%
ValueCountFrequency (%)
914786
 
1.7%
463410
 
7.1%
3148664
16.7%
2267744
30.0%
1151524
17.0%

KBA05_SEG2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.098729775
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:03.631097image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.332420964
Coefficient of variation (CV)0.4299894023
Kurtosis5.51844035
Mean3.098729775
Median Absolute Deviation (MAD)1
Skewness1.508051417
Sum2348518
Variance1.775345624
MonotonicityNot monotonic
2021-05-29T15:54:03.722691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3300423
33.7%
4164242
18.4%
2152469
17.1%
169404
 
7.8%
556573
 
6.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
169404
 
7.8%
2152469
17.1%
3300423
33.7%
4164242
18.4%
556573
 
6.3%
ValueCountFrequency (%)
914786
 
1.7%
556573
 
6.3%
4164242
18.4%
3300423
33.7%
2152469
17.1%

KBA05_SEG3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.086683283
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:03.807449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.343910335
Coefficient of variation (CV)0.4353897735
Kurtosis5.272531063
Mean3.086683283
Median Absolute Deviation (MAD)1
Skewness1.525636513
Sum2339388
Variance1.80609499
MonotonicityNot monotonic
2021-05-29T15:54:03.895658image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3271266
30.4%
2184407
20.7%
4163976
18.4%
162378
 
7.0%
561084
 
6.9%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
162378
 
7.0%
2184407
20.7%
3271266
30.4%
4163976
18.4%
561084
 
6.9%
ValueCountFrequency (%)
914786
 
1.7%
561084
 
6.9%
4163976
18.4%
3271266
30.4%
2184407
20.7%

KBA05_SEG4
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.104275383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:03.978678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.317708542
Coefficient of variation (CV)0.424481845
Kurtosis5.840678163
Mean3.104275383
Median Absolute Deviation (MAD)1
Skewness1.596864651
Sum2352721
Variance1.736355801
MonotonicityNot monotonic
2021-05-29T15:54:04.068352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3322991
36.2%
2152522
17.1%
4143664
16.1%
162174
 
7.0%
561760
 
6.9%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
162174
 
7.0%
2152522
17.1%
3322991
36.2%
4143664
16.1%
561760
 
6.9%
ValueCountFrequency (%)
914786
 
1.7%
561760
 
6.9%
4143664
16.1%
3322991
36.2%
2152522
17.1%

KBA05_SEG5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.597991548
Minimum0
Maximum9
Zeros182816
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:04.153893image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.567610921
Coefficient of variation (CV)0.9809882435
Kurtosis7.412300162
Mean1.597991548
Median Absolute Deviation (MAD)1
Skewness2.112108964
Sum1211113
Variance2.457404001
MonotonicityNot monotonic
2021-05-29T15:54:04.238837image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1235093
26.4%
2183424
20.6%
0182816
20.5%
391014
 
10.2%
450764
 
5.7%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0182816
20.5%
1235093
26.4%
2183424
20.6%
391014
 
10.2%
450764
 
5.7%
ValueCountFrequency (%)
914786
 
1.7%
450764
 
5.7%
391014
 
10.2%
2183424
20.6%
1235093
26.4%

KBA05_SEG6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.292328641
Minimum0
Maximum9
Zeros654630
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:04.320345image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.269464666
Coefficient of variation (CV)4.342594218
Kurtosis40.20239544
Mean0.292328641
Median Absolute Deviation (MAD)0
Skewness6.305992418
Sum221555
Variance1.611540538
MonotonicityNot monotonic
2021-05-29T15:54:04.402550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0654630
73.5%
188481
 
9.9%
914786
 
1.7%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
0654630
73.5%
188481
 
9.9%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
188481
 
9.9%
0654630
73.5%

KBA05_SEG7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.988600034
Minimum0
Maximum9
Zeros368086
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:04.485579image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.477921357
Coefficient of variation (CV)1.494963895
Kurtosis14.20945205
Mean0.988600034
Median Absolute Deviation (MAD)1
Skewness3.188133864
Sum749257
Variance2.184251539
MonotonicityNot monotonic
2021-05-29T15:54:04.570534image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0368086
41.3%
1183860
20.6%
2141172
 
15.8%
349993
 
5.6%
914786
 
1.7%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
0368086
41.3%
1183860
20.6%
2141172
 
15.8%
349993
 
5.6%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
349993
 
5.6%
2141172
 
15.8%
1183860
20.6%
0368086
41.3%

KBA05_SEG8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.9012807809
Minimum0
Maximum9
Zeros403849
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:04.655095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.472814566
Coefficient of variation (CV)1.634135108
Kurtosis15.20686612
Mean0.9012807809
Median Absolute Deviation (MAD)0
Skewness3.360336735
Sum683078
Variance2.169182746
MonotonicityNot monotonic
2021-05-29T15:54:04.742223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0403849
45.3%
1173773
19.5%
2120236
 
13.5%
345253
 
5.1%
914786
 
1.7%
(Missing)133324
 
15.0%
ValueCountFrequency (%)
0403849
45.3%
1173773
19.5%
2120236
 
13.5%
345253
 
5.1%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
345253
 
5.1%
2120236
 
13.5%
1173773
19.5%
0403849
45.3%

KBA05_SEG9
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.213546168
Minimum0
Maximum9
Zeros257693
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:04.827713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.445609194
Coefficient of variation (CV)1.191227192
Kurtosis13.78584205
Mean1.213546168
Median Absolute Deviation (MAD)1
Skewness3.02733119
Sum919743
Variance2.089785943
MonotonicityNot monotonic
2021-05-29T15:54:04.925614image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0257693
28.9%
1240744
27.0%
2188097
21.1%
356577
 
6.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0257693
28.9%
1240744
27.0%
2188097
21.1%
356577
 
6.3%
914786
 
1.7%
ValueCountFrequency (%)
914786
 
1.7%
356577
 
6.3%
2188097
21.1%
1240744
27.0%
0257693
28.9%

KBA05_VORB0
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.970043423
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:05.008123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.417498462
Coefficient of variation (CV)0.4772652317
Kurtosis4.341234679
Mean2.970043423
Median Absolute Deviation (MAD)1
Skewness1.351841153
Sum2250987
Variance2.009301891
MonotonicityNot monotonic
2021-05-29T15:54:05.100484image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3243780
27.4%
2173206
19.4%
4162160
18.2%
1107076
12.0%
556889
 
6.4%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
1107076
12.0%
2173206
19.4%
3243780
27.4%
4162160
18.2%
556889
 
6.4%
ValueCountFrequency (%)
914786
 
1.7%
556889
 
6.4%
4162160
18.2%
3243780
27.4%
2173206
19.4%

KBA05_VORB1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.111914944
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:05.187804image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333840253
Coefficient of variation (CV)0.4286236215
Kurtosis5.433542943
Mean3.111914944
Median Absolute Deviation (MAD)1
Skewness1.522481541
Sum2358511
Variance1.779129821
MonotonicityNot monotonic
2021-05-29T15:54:05.281674image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3310192
34.8%
2153319
17.2%
4148709
16.7%
565624
 
7.4%
165267
 
7.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
165267
 
7.3%
2153319
17.2%
3310192
34.8%
4148709
16.7%
565624
 
7.4%
ValueCountFrequency (%)
914786
 
1.7%
565624
 
7.4%
4148709
16.7%
3310192
34.8%
2153319
17.2%

KBA05_VORB2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.858848894
Minimum0
Maximum9
Zeros54357
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:05.373861image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.616102009
Coefficient of variation (CV)0.5652981563
Kurtosis2.381512426
Mean2.858848894
Median Absolute Deviation (MAD)1
Skewness0.7994660653
Sum2166713
Variance2.611785703
MonotonicityNot monotonic
2021-05-29T15:54:05.467961image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3234755
26.3%
2160742
18.0%
4120239
13.5%
588479
 
9.9%
184539
 
9.5%
054357
 
6.1%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
054357
 
6.1%
184539
 
9.5%
2160742
18.0%
3234755
26.3%
4120239
13.5%
ValueCountFrequency (%)
914786
 
1.7%
588479
 
9.9%
4120239
13.5%
3234755
26.3%
2160742
18.0%

KBA05_ZUL1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.101210323
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:05.561309image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.33663879
Coefficient of variation (CV)0.431005527
Kurtosis5.410814299
Mean3.101210323
Median Absolute Deviation (MAD)1
Skewness1.508106285
Sum2350398
Variance1.786603254
MonotonicityNot monotonic
2021-05-29T15:54:05.668987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3299375
33.6%
4158290
17.8%
2156849
17.6%
167661
 
7.6%
560936
 
6.8%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
167661
 
7.6%
2156849
17.6%
3299375
33.6%
4158290
17.8%
560936
 
6.8%
ValueCountFrequency (%)
914786
 
1.7%
560936
 
6.8%
4158290
17.8%
3299375
33.6%
2156849
17.6%

KBA05_ZUL2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.105023506
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:05.769781image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.34103811
Coefficient of variation (CV)0.4318930623
Kurtosis5.280084288
Mean3.105023506
Median Absolute Deviation (MAD)1
Skewness1.502697194
Sum2353288
Variance1.798383214
MonotonicityNot monotonic
2021-05-29T15:54:05.879508image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3288618
32.4%
2166431
18.7%
4159876
17.9%
164734
 
7.3%
563452
 
7.1%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
164734
 
7.3%
2166431
18.7%
3288618
32.4%
4159876
17.9%
563452
 
7.1%
ValueCountFrequency (%)
914786
 
1.7%
563452
 
7.1%
4159876
17.9%
3288618
32.4%
2166431
18.7%

KBA05_ZUL3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.782602385
Minimum0
Maximum9
Zeros71287
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:05.984825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.614415822
Coefficient of variation (CV)0.5801820016
Kurtosis2.608783159
Mean2.782602385
Median Absolute Deviation (MAD)1
Skewness0.7585536284
Sum2108926
Variance2.606338445
MonotonicityNot monotonic
2021-05-29T15:54:06.083551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3224580
25.2%
2160683
18.0%
4156551
17.6%
173877
 
8.3%
071287
 
8.0%
556133
 
6.3%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
071287
 
8.0%
173877
 
8.3%
2160683
18.0%
3224580
25.2%
4156551
17.6%
ValueCountFrequency (%)
914786
 
1.7%
556133
 
6.3%
4156551
17.6%
3224580
25.2%
2160683
18.0%

KBA05_ZUL4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.270412734
Minimum0
Maximum9
Zeros105584
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:06.192292image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.733541451
Coefficient of variation (CV)0.763535821
Kurtosis2.48023893
Mean2.270412734
Median Absolute Deviation (MAD)1
Skewness1.157745692
Sum1720739
Variance3.005165962
MonotonicityNot monotonic
2021-05-29T15:54:06.292141image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2183127
20.5%
1174910
19.6%
3125299
14.1%
0105584
11.8%
4100351
11.3%
553840
 
6.0%
914786
 
1.7%
(Missing)133324
15.0%
ValueCountFrequency (%)
0105584
11.8%
1174910
19.6%
2183127
20.5%
3125299
14.1%
4100351
11.3%
ValueCountFrequency (%)
914786
 
1.7%
553840
 
6.0%
4100351
11.3%
3125299
14.1%
2183127
20.5%

KBA13_ALTERHALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.978738791
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:06.409991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.061121296
Coefficient of variation (CV)0.3562317379
Kurtosis-0.3731882011
Mean2.978738791
Median Absolute Deviation (MAD)1
Skewness0.03217611328
Sum2339564
Variance1.125978405
MonotonicityNot monotonic
2021-05-29T15:54:06.506941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3333405
37.4%
2160653
18.0%
4147128
16.5%
172911
 
8.2%
571324
 
8.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
172911
 
8.2%
2160653
18.0%
3333405
37.4%
4147128
16.5%
571324
 
8.0%
ValueCountFrequency (%)
571324
 
8.0%
4147128
16.5%
3333405
37.4%
2160653
18.0%
172911
 
8.2%

KBA13_ALTERHALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.084179058
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:06.594884image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.114805084
Coefficient of variation (CV)0.3614592614
Kurtosis-0.5654276947
Mean3.084179058
Median Absolute Deviation (MAD)1
Skewness-0.01395475423
Sum2422379
Variance1.242790376
MonotonicityNot monotonic
2021-05-29T15:54:06.689312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3305775
34.3%
4161597
18.1%
2150705
16.9%
597478
 
10.9%
169866
 
7.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
169866
 
7.8%
2150705
16.9%
3305775
34.3%
4161597
18.1%
597478
 
10.9%
ValueCountFrequency (%)
597478
 
10.9%
4161597
18.1%
3305775
34.3%
2150705
16.9%
169866
 
7.8%

KBA13_ALTERHALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.818779992
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:06.778978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.054657287
Coefficient of variation (CV)0.3741538148
Kurtosis-0.3981906612
Mean2.818779992
Median Absolute Deviation (MAD)1
Skewness0.08946759222
Sum2213929
Variance1.112301993
MonotonicityNot monotonic
2021-05-29T15:54:06.873652image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3321522
36.1%
2188053
21.1%
4130673
14.7%
193825
 
10.5%
551348
 
5.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
193825
 
10.5%
2188053
21.1%
3321522
36.1%
4130673
14.7%
551348
 
5.8%
ValueCountFrequency (%)
551348
 
5.8%
4130673
14.7%
3321522
36.1%
2188053
21.1%
193825
 
10.5%

KBA13_ALTERHALTER_61
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.119898755
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:06.963394image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065410583
Coefficient of variation (CV)0.3414888324
Kurtosis-0.4128051035
Mean3.119898755
Median Absolute Deviation (MAD)1
Skewness-0.06678870613
Sum2450434
Variance1.13509971
MonotonicityNot monotonic
2021-05-29T15:54:07.059492image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3323096
36.3%
4177428
19.9%
2138065
15.5%
587118
 
9.8%
159714
 
6.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
159714
 
6.7%
2138065
15.5%
3323096
36.3%
4177428
19.9%
587118
 
9.8%
ValueCountFrequency (%)
587118
 
9.8%
4177428
19.9%
3323096
36.3%
2138065
15.5%
159714
 
6.7%

KBA13_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.150964897
Minimum0
Maximum4
Zeros8008
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:07.149776image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9210521813
Coefficient of variation (CV)0.42820419
Kurtosis-0.6709746298
Mean2.150964897
Median Absolute Deviation (MAD)1
Skewness0.1865166011
Sum1689413
Variance0.8483371206
MonotonicityNot monotonic
2021-05-29T15:54:07.244620image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2299448
33.6%
3219174
24.6%
1200723
22.5%
458068
 
6.5%
08008
 
0.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
08008
 
0.9%
1200723
22.5%
2299448
33.6%
3219174
24.6%
458068
 
6.5%
ValueCountFrequency (%)
458068
 
6.5%
3219174
24.6%
2299448
33.6%
1200723
22.5%
08008
 
0.9%

KBA13_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.777878361
Minimum0
Maximum4
Zeros10772
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:07.335203image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9326849963
Coefficient of variation (CV)0.3357544411
Kurtosis-0.1208342677
Mean2.777878361
Median Absolute Deviation (MAD)1
Skewness-0.5026202435
Sum2181804
Variance0.8699013024
MonotonicityNot monotonic
2021-05-29T15:54:07.430211image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3325207
36.5%
2207993
23.3%
4182916
20.5%
158533
 
6.6%
010772
 
1.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
010772
 
1.2%
158533
 
6.6%
2207993
23.3%
3325207
36.5%
4182916
20.5%
ValueCountFrequency (%)
4182916
20.5%
3325207
36.5%
2207993
23.3%
158533
 
6.6%
010772
 
1.2%

KBA13_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.604805576
Minimum0
Maximum3
Zeros134190
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:07.522958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.017782623
Coefficient of variation (CV)0.6342093012
Kurtosis-1.097976664
Mean1.604805576
Median Absolute Deviation (MAD)1
Skewness-0.123738817
Sum1260448
Variance1.035881467
MonotonicityNot monotonic
2021-05-29T15:54:07.623786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2251723
28.2%
1220761
24.8%
3178747
20.1%
0134190
15.1%
(Missing)105800
11.9%
ValueCountFrequency (%)
0134190
15.1%
1220761
24.8%
2251723
28.2%
3178747
20.1%
ValueCountFrequency (%)
3178747
20.1%
2251723
28.2%
1220761
24.8%
0134190
15.1%

KBA13_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean0.6764143052
Minimum0
Maximum2
Zeros380795
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:07.720660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7357755114
Coefficient of variation (CV)1.08775865
Kurtosis-0.95191726
Mean0.6764143052
Median Absolute Deviation (MAD)1
Skewness0.5920587517
Sum531270
Variance0.5413656032
MonotonicityNot monotonic
2021-05-29T15:54:07.829010image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0380795
42.7%
1277982
31.2%
2126644
 
14.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0380795
42.7%
1277982
31.2%
2126644
 
14.2%
ValueCountFrequency (%)
2126644
 
14.2%
1277982
31.2%
0380795
42.7%

KBA13_ANZAHL_PKW
Real number (ℝ≥0)

MISSING

Distinct1261
Distinct (%)0.2%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean619.7014391
Minimum0
Maximum2300
Zeros62
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:07.974000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile201
Q1384
median549
Q3778
95-th percentile1300
Maximum2300
Range2300
Interquartile range (IQR)394

Descriptive statistics

Standard deviation340.0343177
Coefficient of variation (CV)0.5487066776
Kurtosis2.0596211
Mean619.7014391
Median Absolute Deviation (MAD)189
Skewness1.263093879
Sum486726524
Variance115623.3372
MonotonicityNot monotonic
2021-05-29T15:54:08.100446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140011722
 
1.3%
15008291
 
0.9%
13006427
 
0.7%
16006135
 
0.7%
17003795
 
0.4%
18002617
 
0.3%
4641604
 
0.2%
4171604
 
0.2%
5191600
 
0.2%
5341496
 
0.2%
Other values (1251)740130
83.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
062
< 0.1%
18
 
< 0.1%
26
 
< 0.1%
36
 
< 0.1%
47
 
< 0.1%
ValueCountFrequency (%)
2300611
0.1%
2200307
 
< 0.1%
2100651
0.1%
20001198
0.1%
19001450
0.2%

KBA13_AUDI
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.005442941
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:08.195615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.003597798
Coefficient of variation (CV)0.3339267515
Kurtosis-0.2392083527
Mean3.005442941
Median Absolute Deviation (MAD)1
Skewness0.02179226185
Sum2360538
Variance1.00720854
MonotonicityNot monotonic
2021-05-29T15:54:08.291607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3346606
38.9%
2162879
18.3%
4158506
17.8%
560877
 
6.8%
156553
 
6.3%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
156553
 
6.3%
2162879
18.3%
3346606
38.9%
4158506
17.8%
560877
 
6.8%
ValueCountFrequency (%)
560877
 
6.8%
4158506
17.8%
3346606
38.9%
2162879
18.3%
156553
 
6.3%

KBA13_AUTOQUOTE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.782242899
Minimum0
Maximum5
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:08.379437image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.049191043
Coefficient of variation (CV)0.3771026044
Kurtosis-0.4172424007
Mean2.782242899
Median Absolute Deviation (MAD)1
Skewness0.06123555661
Sum2185232
Variance1.100801845
MonotonicityNot monotonic
2021-05-29T15:54:08.473835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3322478
36.2%
2186121
20.9%
4130528
14.6%
1102004
 
11.4%
544288
 
5.0%
02
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
02
 
< 0.1%
1102004
 
11.4%
2186121
20.9%
3322478
36.2%
4130528
14.6%
ValueCountFrequency (%)
544288
 
5.0%
4130528
14.6%
3322478
36.2%
2186121
20.9%
1102004
 
11.4%

KBA13_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.019614958
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:08.563309image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.510166802
Coefficient of variation (CV)0.7477498597
Kurtosis-0.4361018972
Mean2.019614958
Median Absolute Deviation (MAD)0
Skewness1.10331607
Sum1586248
Variance2.280603769
MonotonicityNot monotonic
2021-05-29T15:54:08.657451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1491118
55.1%
5115476
 
13.0%
269249
 
7.8%
359060
 
6.6%
450518
 
5.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
1491118
55.1%
269249
 
7.8%
359060
 
6.6%
450518
 
5.7%
5115476
 
13.0%
ValueCountFrequency (%)
5115476
 
13.0%
450518
 
5.7%
359060
 
6.6%
269249
 
7.8%
1491118
55.1%

KBA13_BJ_1999
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.987050257
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:08.747906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9623328427
Coefficient of variation (CV)0.3221682797
Kurtosis-0.1314701587
Mean2.987050257
Median Absolute Deviation (MAD)1
Skewness0.01132096294
Sum2346092
Variance0.9260845002
MonotonicityNot monotonic
2021-05-29T15:54:08.846448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3359190
40.3%
2166296
18.7%
4159513
17.9%
151058
 
5.7%
549364
 
5.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
151058
 
5.7%
2166296
18.7%
3359190
40.3%
4159513
17.9%
549364
 
5.5%
ValueCountFrequency (%)
549364
 
5.5%
4159513
17.9%
3359190
40.3%
2166296
18.7%
151058
 
5.7%

KBA13_BJ_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.99091952
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:08.939371image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99708089
Coefficient of variation (CV)0.333369348
Kurtosis-0.227519959
Mean2.99091952
Median Absolute Deviation (MAD)1
Skewness0.008451281402
Sum2349131
Variance0.9941703013
MonotonicityNot monotonic
2021-05-29T15:54:09.037955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3347385
39.0%
2164179
18.4%
4159567
17.9%
157775
 
6.5%
556515
 
6.3%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
157775
 
6.5%
2164179
18.4%
3347385
39.0%
4159567
17.9%
556515
 
6.3%
ValueCountFrequency (%)
556515
 
6.3%
4159567
17.9%
3347385
39.0%
2164179
18.4%
157775
 
6.5%

KBA13_BJ_2004
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.982818132
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:09.129990image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.950731195
Coefficient of variation (CV)0.318735891
Kurtosis-0.08871876063
Mean2.982818132
Median Absolute Deviation (MAD)1
Skewness0.01212959383
Sum2342768
Variance0.9038898051
MonotonicityNot monotonic
2021-05-29T15:54:09.227083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3364930
40.9%
2166228
18.7%
4157705
17.7%
149522
 
5.6%
547036
 
5.3%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
149522
 
5.6%
2166228
18.7%
3364930
40.9%
4157705
17.7%
547036
 
5.3%
ValueCountFrequency (%)
547036
 
5.3%
4157705
17.7%
3364930
40.9%
2166228
18.7%
149522
 
5.6%

KBA13_BJ_2006
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.983200093
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:09.321563image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9647523107
Coefficient of variation (CV)0.3233951062
Kurtosis-0.1477449673
Mean2.983200093
Median Absolute Deviation (MAD)1
Skewness0.003641640636
Sum2343068
Variance0.930747021
MonotonicityNot monotonic
2021-05-29T15:54:09.424319image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3356794
40.0%
2166960
18.7%
4160793
18.0%
152194
 
5.9%
548680
 
5.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
152194
 
5.9%
2166960
18.7%
3356794
40.0%
4160793
18.0%
548680
 
5.5%
ValueCountFrequency (%)
548680
 
5.5%
4160793
18.0%
3356794
40.0%
2166960
18.7%
152194
 
5.9%

KBA13_BJ_2008
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.430025426
Minimum0
Maximum5
Zeros134372
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:09.525764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.466413072
Coefficient of variation (CV)0.6034558553
Kurtosis-0.6612136716
Mean2.430025426
Median Absolute Deviation (MAD)1
Skewness-0.2097089564
Sum1908593
Variance2.150367297
MonotonicityNot monotonic
2021-05-29T15:54:09.627680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3274885
30.8%
2170564
19.1%
0134372
15.1%
486070
 
9.7%
569750
 
7.8%
149780
 
5.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0134372
15.1%
149780
 
5.6%
2170564
19.1%
3274885
30.8%
486070
 
9.7%
ValueCountFrequency (%)
569750
 
7.8%
486070
 
9.7%
3274885
30.8%
2170564
19.1%
149780
 
5.6%

KBA13_BJ_2009
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.453592405
Minimum0
Maximum5
Zeros101115
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:09.720116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.448965335
Coefficient of variation (CV)0.5905485086
Kurtosis-0.7593634555
Mean2.453592405
Median Absolute Deviation (MAD)1
Skewness-0.1309785037
Sum1927103
Variance2.099500543
MonotonicityNot monotonic
2021-05-29T15:54:09.827582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3286198
32.1%
1119909
13.5%
2118034
13.2%
0101115
 
11.3%
488293
 
9.9%
571872
 
8.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0101115
 
11.3%
1119909
13.5%
2118034
13.2%
3286198
32.1%
488293
 
9.9%
ValueCountFrequency (%)
571872
 
8.1%
488293
 
9.9%
3286198
32.1%
2118034
13.2%
1119909
13.5%

KBA13_BMW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.159221615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:09.925773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.000800768
Coefficient of variation (CV)0.3167871361
Kurtosis-0.2722905035
Mean3.159221615
Median Absolute Deviation (MAD)1
Skewness0.01318550687
Sum2481319
Variance1.001602177
MonotonicityNot monotonic
2021-05-29T15:54:10.036030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3346193
38.8%
4176871
19.8%
2139903
15.7%
583249
 
9.3%
139205
 
4.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
139205
 
4.4%
2139903
15.7%
3346193
38.8%
4176871
19.8%
583249
 
9.3%
ValueCountFrequency (%)
583249
 
9.3%
4176871
19.8%
3346193
38.8%
2139903
15.7%
139205
 
4.4%

KBA13_CCM_0_1400
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.342429092
Minimum0
Maximum5
Zeros138711
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:10.135156image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.445696683
Coefficient of variation (CV)0.6171784189
Kurtosis-0.6857091243
Mean2.342429092
Median Absolute Deviation (MAD)1
Skewness-0.1666203199
Sum1839793
Variance2.090038901
MonotonicityNot monotonic
2021-05-29T15:54:10.240716image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3268319
30.1%
2178378
20.0%
0138711
15.6%
481885
 
9.2%
160025
 
6.7%
558103
 
6.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0138711
15.6%
160025
 
6.7%
2178378
20.0%
3268319
30.1%
481885
 
9.2%
ValueCountFrequency (%)
558103
 
6.5%
481885
 
9.2%
3268319
30.1%
2178378
20.0%
160025
 
6.7%

KBA13_CCM_1000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.426497382
Minimum0
Maximum5
Zeros103227
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:10.334615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.436357475
Coefficient of variation (CV)0.5919468474
Kurtosis-0.7466181288
Mean2.426497382
Median Absolute Deviation (MAD)1
Skewness-0.1360359797
Sum1905822
Variance2.063122797
MonotonicityNot monotonic
2021-05-29T15:54:10.441881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3290316
32.6%
1120040
13.5%
2119210
13.4%
0103227
 
11.6%
486726
 
9.7%
565902
 
7.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0103227
 
11.6%
1120040
13.5%
2119210
13.4%
3290316
32.6%
486726
 
9.7%
ValueCountFrequency (%)
565902
 
7.4%
486726
 
9.7%
3290316
32.6%
2119210
13.4%
1120040
13.5%

KBA13_CCM_1200
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.329705979
Minimum0
Maximum5
Zeros145802
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:11.147415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45957818
Coefficient of variation (CV)0.6265074619
Kurtosis-0.7400300325
Mean2.329705979
Median Absolute Deviation (MAD)1
Skewness-0.1848703145
Sum1829800
Variance2.130368464
MonotonicityNot monotonic
2021-05-29T15:54:11.239536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3278653
31.3%
2161690
18.1%
0145802
16.4%
481631
 
9.2%
161072
 
6.9%
556573
 
6.3%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0145802
16.4%
161072
 
6.9%
2161690
18.1%
3278653
31.3%
481631
 
9.2%
ValueCountFrequency (%)
556573
 
6.3%
481631
 
9.2%
3278653
31.3%
2161690
18.1%
161072
 
6.9%

KBA13_CCM_1400
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.005170475
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:11.321473image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9427556246
Coefficient of variation (CV)0.3137111962
Kurtosis-0.1002809285
Mean3.005170475
Median Absolute Deviation (MAD)1
Skewness0.0466803668
Sum2360324
Variance0.8887881677
MonotonicityNot monotonic
2021-05-29T15:54:11.414762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3362764
40.7%
2169640
19.0%
4161205
18.1%
549030
 
5.5%
142782
 
4.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
142782
 
4.8%
2169640
19.0%
3362764
40.7%
4161205
18.1%
549030
 
5.5%
ValueCountFrequency (%)
549030
 
5.5%
4161205
18.1%
3362764
40.7%
2169640
19.0%
142782
 
4.8%

KBA13_CCM_1401_2500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.910120814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:11.504733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9450717165
Coefficient of variation (CV)0.3247534301
Kurtosis-0.1519754313
Mean2.910120814
Median Absolute Deviation (MAD)1
Skewness-0.06479961067
Sum2285670
Variance0.8931605493
MonotonicityNot monotonic
2021-05-29T15:54:11.600390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3359093
40.3%
2174525
19.6%
4157962
17.7%
160428
 
6.8%
533413
 
3.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
160428
 
6.8%
2174525
19.6%
3359093
40.3%
4157962
17.7%
533413
 
3.7%
ValueCountFrequency (%)
533413
 
3.7%
4157962
17.7%
3359093
40.3%
2174525
19.6%
160428
 
6.8%

KBA13_CCM_1500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.619311172
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:11.692626image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.419685148
Coefficient of variation (CV)0.5420070603
Kurtosis-1.453067672
Mean2.619311172
Median Absolute Deviation (MAD)1
Skewness0.1049282826
Sum2057262
Variance2.01550592
MonotonicityNot monotonic
2021-05-29T15:54:11.788709image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1287731
32.3%
4206213
23.1%
3156747
17.6%
568326
 
7.7%
266404
 
7.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
1287731
32.3%
266404
 
7.5%
3156747
17.6%
4206213
23.1%
568326
 
7.7%
ValueCountFrequency (%)
568326
 
7.7%
4206213
23.1%
3156747
17.6%
266404
 
7.5%
1287731
32.3%

KBA13_CCM_1600
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.029110503
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:11.879362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9388705755
Coefficient of variation (CV)0.3099492656
Kurtosis-0.09678619446
Mean3.029110503
Median Absolute Deviation (MAD)1
Skewness0.06492293978
Sum2379127
Variance0.8814779576
MonotonicityNot monotonic
2021-05-29T15:54:11.976452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3364222
40.9%
2167171
18.8%
4163429
18.3%
551951
 
5.8%
138648
 
4.3%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
138648
 
4.3%
2167171
18.8%
3364222
40.9%
4163429
18.3%
551951
 
5.8%
ValueCountFrequency (%)
551951
 
5.8%
4163429
18.3%
3364222
40.9%
2167171
18.8%
138648
 
4.3%

KBA13_CCM_1800
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.364000963
Minimum0
Maximum5
Zeros137534
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:12.063240image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43666166
Coefficient of variation (CV)0.6077246512
Kurtosis-0.6393064936
Mean2.364000963
Median Absolute Deviation (MAD)1
Skewness-0.202261127
Sum1856736
Variance2.063996726
MonotonicityNot monotonic
2021-05-29T15:54:12.155390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3276578
31.0%
2179863
20.2%
0137534
15.4%
481550
 
9.2%
557795
 
6.5%
152101
 
5.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0137534
15.4%
152101
 
5.8%
2179863
20.2%
3276578
31.0%
481550
 
9.2%
ValueCountFrequency (%)
557795
 
6.5%
481550
 
9.2%
3276578
31.0%
2179863
20.2%
152101
 
5.8%

KBA13_CCM_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071686395
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:12.241597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9381931968
Coefficient of variation (CV)0.3054326113
Kurtosis-0.1198910189
Mean3.071686395
Median Absolute Deviation (MAD)1
Skewness0.07398909688
Sum2412567
Variance0.8802064745
MonotonicityNot monotonic
2021-05-29T15:54:12.340525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3363131
40.7%
4170342
19.1%
2160922
18.1%
557234
 
6.4%
133792
 
3.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
133792
 
3.8%
2160922
18.1%
3363131
40.7%
4170342
19.1%
557234
 
6.4%
ValueCountFrequency (%)
557234
 
6.4%
4170342
19.1%
3363131
40.7%
2160922
18.1%
133792
 
3.8%

KBA13_CCM_2500
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.482918078
Minimum0
Maximum5
Zeros95350
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:12.428479image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.414942642
Coefficient of variation (CV)0.5698708525
Kurtosis-0.6372071175
Mean2.482918078
Median Absolute Deviation (MAD)1
Skewness-0.1527969444
Sum1950136
Variance2.00206268
MonotonicityNot monotonic
2021-05-29T15:54:12.534286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3283932
31.9%
2144530
16.2%
1102470
 
11.5%
095350
 
10.7%
488885
 
10.0%
570254
 
7.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
095350
 
10.7%
1102470
 
11.5%
2144530
16.2%
3283932
31.9%
488885
 
10.0%
ValueCountFrequency (%)
570254
 
7.9%
488885
 
10.0%
3283932
31.9%
2144530
16.2%
1102470
 
11.5%

KBA13_CCM_2501
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.512177546
Minimum0
Maximum5
Zeros93403
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:12.617205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.449422653
Coefficient of variation (CV)0.5769586849
Kurtosis-0.7464547057
Mean2.512177546
Median Absolute Deviation (MAD)1
Skewness-0.1598613993
Sum1973117
Variance2.100826027
MonotonicityNot monotonic
2021-05-29T15:54:12.719034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3294765
33.1%
1121797
13.7%
2106344
 
11.9%
093403
 
10.5%
491223
 
10.2%
577889
 
8.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
093403
 
10.5%
1121797
13.7%
2106344
 
11.9%
3294765
33.1%
491223
 
10.2%
ValueCountFrequency (%)
577889
 
8.7%
491223
 
10.2%
3294765
33.1%
2106344
 
11.9%
1121797
13.7%

KBA13_CCM_3000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.583847389
Minimum0
Maximum5
Zeros56562
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:12.815025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.368104049
Coefficient of variation (CV)0.5294833026
Kurtosis-0.6566333737
Mean2.583847389
Median Absolute Deviation (MAD)1
Skewness-0.1149045324
Sum2029408
Variance1.871708689
MonotonicityNot monotonic
2021-05-29T15:54:12.923202image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3308099
34.6%
1149271
16.7%
2103136
 
11.6%
492197
 
10.3%
576156
 
8.5%
056562
 
6.3%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
056562
 
6.3%
1149271
16.7%
2103136
 
11.6%
3308099
34.6%
492197
 
10.3%
ValueCountFrequency (%)
576156
 
8.5%
492197
 
10.3%
3308099
34.6%
2103136
 
11.6%
1149271
16.7%

KBA13_CCM_3001
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.625874531
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:13.023196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.511502049
Coefficient of variation (CV)0.5756185345
Kurtosis-1.586258599
Mean2.625874531
Median Absolute Deviation (MAD)2
Skewness0.08580921562
Sum2062417
Variance2.284638445
MonotonicityNot monotonic
2021-05-29T15:54:13.134095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1338439
38.0%
4215760
24.2%
3147448
16.5%
583682
 
9.4%
292
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
1338439
38.0%
292
 
< 0.1%
3147448
16.5%
4215760
24.2%
583682
 
9.4%
ValueCountFrequency (%)
583682
 
9.4%
4215760
24.2%
3147448
16.5%
292
 
< 0.1%
1338439
38.0%

KBA13_FAB_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.974636533
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:13.238029image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.017911283
Coefficient of variation (CV)0.3421968608
Kurtosis-0.2800479235
Mean2.974636533
Median Absolute Deviation (MAD)1
Skewness0.0392026561
Sum2336342
Variance1.036143381
MonotonicityNot monotonic
2021-05-29T15:54:13.378897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3340870
38.2%
2169019
19.0%
4152278
17.1%
162422
 
7.0%
560832
 
6.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
162422
 
7.0%
2169019
19.0%
3340870
38.2%
4152278
17.1%
560832
 
6.8%
ValueCountFrequency (%)
560832
 
6.8%
4152278
17.1%
3340870
38.2%
2169019
19.0%
162422
 
7.0%

KBA13_FAB_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.988924411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:13.487700image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008134932
Coefficient of variation (CV)0.3372902065
Kurtosis-0.249490373
Mean2.988924411
Median Absolute Deviation (MAD)1
Skewness0.0419679122
Sum2347564
Variance1.016336041
MonotonicityNot monotonic
2021-05-29T15:54:13.598341image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3345124
38.7%
2167481
18.8%
4153466
17.2%
561004
 
6.8%
158346
 
6.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
158346
 
6.5%
2167481
18.8%
3345124
38.7%
4153466
17.2%
561004
 
6.8%
ValueCountFrequency (%)
561004
 
6.8%
4153466
17.2%
3345124
38.7%
2167481
18.8%
158346
 
6.5%

KBA13_FIAT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.128779343
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:13.703042image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001765957
Coefficient of variation (CV)0.3201778863
Kurtosis-0.2841501036
Mean3.128779343
Median Absolute Deviation (MAD)1
Skewness0.0270094667
Sum2457409
Variance1.003535032
MonotonicityNot monotonic
2021-05-29T15:54:13.795379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3343347
38.5%
4174024
19.5%
2148334
16.6%
578722
 
8.8%
140994
 
4.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
140994
 
4.6%
2148334
16.6%
3343347
38.5%
4174024
19.5%
578722
 
8.8%
ValueCountFrequency (%)
578722
 
8.8%
4174024
19.5%
3343347
38.5%
2148334
16.6%
140994
 
4.6%

KBA13_FORD
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.00405515
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:13.885420image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040266734
Coefficient of variation (CV)0.3462874955
Kurtosis-0.3381241267
Mean3.00405515
Median Absolute Deviation (MAD)1
Skewness0.02739859434
Sum2359448
Variance1.082154878
MonotonicityNot monotonic
2021-05-29T15:54:13.983615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3335170
37.6%
2162145
18.2%
4154870
17.4%
569233
 
7.8%
164003
 
7.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
164003
 
7.2%
2162145
18.2%
3335170
37.6%
4154870
17.4%
569233
 
7.8%
ValueCountFrequency (%)
569233
 
7.8%
4154870
17.4%
3335170
37.6%
2162145
18.2%
164003
 
7.2%

KBA13_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.419656464
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:14.087718image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.119775145
Coefficient of variation (CV)0.3274525254
Kurtosis-0.6608930065
Mean3.419656464
Median Absolute Deviation (MAD)1
Skewness-0.184296062
Sum2685870
Variance1.253896376
MonotonicityNot monotonic
2021-05-29T15:54:14.183721image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3284563
31.9%
4184003
20.6%
5167473
18.8%
2109422
 
12.3%
139960
 
4.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
139960
 
4.5%
2109422
 
12.3%
3284563
31.9%
4184003
20.6%
5167473
18.8%
ValueCountFrequency (%)
5167473
18.8%
4184003
20.6%
3284563
31.9%
2109422
 
12.3%
139960
 
4.5%

KBA13_HALTER_20
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.909913282
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:14.273477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001967599
Coefficient of variation (CV)0.3443290236
Kurtosis-0.2665768406
Mean2.909913282
Median Absolute Deviation (MAD)1
Skewness0.05825115053
Sum2285507
Variance1.00393907
MonotonicityNot monotonic
2021-05-29T15:54:14.371430image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3338233
38.0%
2184872
20.7%
4146416
16.4%
166025
 
7.4%
549875
 
5.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
166025
 
7.4%
2184872
20.7%
3338233
38.0%
4146416
16.4%
549875
 
5.6%
ValueCountFrequency (%)
549875
 
5.6%
4146416
16.4%
3338233
38.0%
2184872
20.7%
166025
 
7.4%

KBA13_HALTER_25
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.945091868
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:14.463382image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.036590893
Coefficient of variation (CV)0.3519723456
Kurtosis-0.3022451426
Mean2.945091868
Median Absolute Deviation (MAD)1
Skewness0.0316235401
Sum2313137
Variance1.074520679
MonotonicityNot monotonic
2021-05-29T15:54:14.561113image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3341430
38.3%
2165111
18.5%
4144771
16.2%
172751
 
8.2%
561358
 
6.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
172751
 
8.2%
2165111
18.5%
3341430
38.3%
4144771
16.2%
561358
 
6.9%
ValueCountFrequency (%)
561358
 
6.9%
4144771
16.2%
3341430
38.3%
2165111
18.5%
172751
 
8.2%

KBA13_HALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.056838307
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:14.653015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.089203736
Coefficient of variation (CV)0.3563170919
Kurtosis-0.4736772624
Mean3.056838307
Median Absolute Deviation (MAD)1
Skewness0.03439205225
Sum2400905
Variance1.186364778
MonotonicityNot monotonic
2021-05-29T15:54:14.749824image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3322185
36.2%
2155663
17.5%
4150541
16.9%
590957
 
10.2%
166075
 
7.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
166075
 
7.4%
2155663
17.5%
3322185
36.2%
4150541
16.9%
590957
 
10.2%
ValueCountFrequency (%)
590957
 
10.2%
4150541
16.9%
3322185
36.2%
2155663
17.5%
166075
 
7.4%

KBA13_HALTER_35
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.104942445
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:14.854268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.105378306
Coefficient of variation (CV)0.3560060536
Kurtosis-0.5472090563
Mean3.104942445
Median Absolute Deviation (MAD)1
Skewness-0.001353135551
Sum2438687
Variance1.2218612
MonotonicityNot monotonic
2021-05-29T15:54:14.963857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3309769
34.8%
4160396
18.0%
2151032
16.9%
5100377
 
11.3%
163847
 
7.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
163847
 
7.2%
2151032
16.9%
3309769
34.8%
4160396
18.0%
5100377
 
11.3%
ValueCountFrequency (%)
5100377
 
11.3%
4160396
18.0%
3309769
34.8%
2151032
16.9%
163847
 
7.2%

KBA13_HALTER_40
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.089956851
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:15.067573image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.097061913
Coefficient of variation (CV)0.3550411755
Kurtosis-0.5177672606
Mean3.089956851
Median Absolute Deviation (MAD)1
Skewness0.003366132979
Sum2426917
Variance1.203544841
MonotonicityNot monotonic
2021-05-29T15:54:15.176762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3313672
35.2%
4159800
17.9%
2151984
17.1%
595692
 
10.7%
164273
 
7.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
164273
 
7.2%
2151984
17.1%
3313672
35.2%
4159800
17.9%
595692
 
10.7%
ValueCountFrequency (%)
595692
 
10.7%
4159800
17.9%
3313672
35.2%
2151984
17.1%
164273
 
7.2%

KBA13_HALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.027353483
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:15.276944image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.078912779
Coefficient of variation (CV)0.3563881076
Kurtosis-0.4629912815
Mean3.027353483
Median Absolute Deviation (MAD)1
Skewness0.005442423805
Sum2377747
Variance1.164052784
MonotonicityNot monotonic
2021-05-29T15:54:15.381792image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3318028
35.7%
4160040
18.0%
2158198
17.8%
579488
 
8.9%
169667
 
7.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
169667
 
7.8%
2158198
17.8%
3318028
35.7%
4160040
18.0%
579488
 
8.9%
ValueCountFrequency (%)
579488
 
8.9%
4160040
18.0%
3318028
35.7%
2158198
17.8%
169667
 
7.8%

KBA13_HALTER_50
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.844839901
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:15.472098image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053111532
Coefficient of variation (CV)0.3701830573
Kurtosis-0.3851539578
Mean2.844839901
Median Absolute Deviation (MAD)1
Skewness0.07705827172
Sum2234397
Variance1.109043899
MonotonicityNot monotonic
2021-05-29T15:54:15.570446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3325071
36.5%
2183530
20.6%
4133612
15.0%
189591
 
10.1%
553617
 
6.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
189591
 
10.1%
2183530
20.6%
3325071
36.5%
4133612
15.0%
553617
 
6.0%
ValueCountFrequency (%)
553617
 
6.0%
4133612
15.0%
3325071
36.5%
2183530
20.6%
189591
 
10.1%

KBA13_HALTER_55
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.840151969
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:15.672432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062277003
Coefficient of variation (CV)0.3740211841
Kurtosis-0.4238710177
Mean2.840151969
Median Absolute Deviation (MAD)1
Skewness0.07484406265
Sum2230715
Variance1.12843243
MonotonicityNot monotonic
2021-05-29T15:54:15.768017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3319411
35.8%
2183685
20.6%
4135541
15.2%
192743
 
10.4%
554041
 
6.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
192743
 
10.4%
2183685
20.6%
3319411
35.8%
4135541
15.2%
554041
 
6.1%
ValueCountFrequency (%)
554041
 
6.1%
4135541
15.2%
3319411
35.8%
2183685
20.6%
192743
 
10.4%

KBA13_HALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.889782677
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:15.858567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.073687401
Coefficient of variation (CV)0.3715460716
Kurtosis-0.4378300202
Mean2.889782677
Median Absolute Deviation (MAD)1
Skewness0.05181155877
Sum2269696
Variance1.152804636
MonotonicityNot monotonic
2021-05-29T15:54:15.954105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3321266
36.0%
2172974
19.4%
4140907
15.8%
188762
 
10.0%
561512
 
6.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
188762
 
10.0%
2172974
19.4%
3321266
36.0%
4140907
15.8%
561512
 
6.9%
ValueCountFrequency (%)
561512
 
6.9%
4140907
15.8%
3321266
36.0%
2172974
19.4%
188762
 
10.0%

KBA13_HALTER_65
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.126903915
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:16.044404image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.044821999
Coefficient of variation (CV)0.3341394641
Kurtosis-0.3632632708
Mean3.126903915
Median Absolute Deviation (MAD)1
Skewness-0.03728899735
Sum2455936
Variance1.091653009
MonotonicityNot monotonic
2021-05-29T15:54:16.139608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3331364
37.2%
4175040
19.6%
2140351
15.7%
585579
 
9.6%
153087
 
6.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
153087
 
6.0%
2140351
15.7%
3331364
37.2%
4175040
19.6%
585579
 
9.6%
ValueCountFrequency (%)
585579
 
9.6%
4175040
19.6%
3331364
37.2%
2140351
15.7%
153087
 
6.0%

KBA13_HALTER_66
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.103431153
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:16.230679image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.07510989
Coefficient of variation (CV)0.3464262093
Kurtosis-0.4366296464
Mean3.103431153
Median Absolute Deviation (MAD)1
Skewness-0.06653728119
Sum2437500
Variance1.155861276
MonotonicityNot monotonic
2021-05-29T15:54:16.326437image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3320451
36.0%
4175161
19.7%
2139386
15.6%
586577
 
9.7%
163846
 
7.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
163846
 
7.2%
2139386
15.6%
3320451
36.0%
4175161
19.7%
586577
 
9.7%
ValueCountFrequency (%)
586577
 
9.7%
4175161
19.7%
3320451
36.0%
2139386
15.6%
163846
 
7.2%

KBA13_HERST_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.004370904
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:16.417182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.03119335
Coefficient of variation (CV)0.3432310399
Kurtosis-0.3133049693
Mean3.004370904
Median Absolute Deviation (MAD)1
Skewness0.03072963553
Sum2359696
Variance1.063359724
MonotonicityNot monotonic
2021-05-29T15:54:16.513774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3338074
37.9%
2162979
18.3%
4155084
17.4%
567474
 
7.6%
161810
 
6.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
161810
 
6.9%
2162979
18.3%
3338074
37.9%
4155084
17.4%
567474
 
7.6%
ValueCountFrequency (%)
567474
 
7.6%
4155084
17.4%
3338074
37.9%
2162979
18.3%
161810
 
6.9%

KBA13_HERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.924982907
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:16.604681image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.026814483
Coefficient of variation (CV)0.351049738
Kurtosis-0.315875946
Mean2.924982907
Median Absolute Deviation (MAD)1
Skewness0.02297034004
Sum2297343
Variance1.054347983
MonotonicityNot monotonic
2021-05-29T15:54:16.701812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3336178
37.7%
2172160
19.3%
4149322
16.8%
172901
 
8.2%
554860
 
6.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
172901
 
8.2%
2172160
19.3%
3336178
37.7%
4149322
16.8%
554860
 
6.2%
ValueCountFrequency (%)
554860
 
6.2%
4149322
16.8%
3336178
37.7%
2172160
19.3%
172901
 
8.2%

KBA13_HERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.165170017
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:16.789489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022936535
Coefficient of variation (CV)0.3231853358
Kurtosis-0.3019088549
Mean3.165170017
Median Absolute Deviation (MAD)1
Skewness-0.03901745395
Sum2485991
Variance1.046399155
MonotonicityNot monotonic
2021-05-29T15:54:16.894461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3339754
38.1%
4180052
20.2%
2133074
 
14.9%
586958
 
9.8%
145583
 
5.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
145583
 
5.1%
2133074
 
14.9%
3339754
38.1%
4180052
20.2%
586958
 
9.8%
ValueCountFrequency (%)
586958
 
9.8%
4180052
20.2%
3339754
38.1%
2133074
 
14.9%
145583
 
5.1%

KBA13_HERST_EUROPA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.083780546
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:16.999354image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013485243
Coefficient of variation (CV)0.3286502485
Kurtosis-0.285225135
Mean3.083780546
Median Absolute Deviation (MAD)1
Skewness0.001426402169
Sum2422066
Variance1.027152337
MonotonicityNot monotonic
2021-05-29T15:54:17.110810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3341097
38.3%
4170642
19.1%
2151037
16.9%
572872
 
8.2%
149773
 
5.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
149773
 
5.6%
2151037
16.9%
3341097
38.3%
4170642
19.1%
572872
 
8.2%
ValueCountFrequency (%)
572872
 
8.2%
4170642
19.1%
3341097
38.3%
2151037
16.9%
149773
 
5.6%

KBA13_HERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.966992225
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:17.216985image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.05817833
Coefficient of variation (CV)0.3566501865
Kurtosis-0.3972105569
Mean2.966992225
Median Absolute Deviation (MAD)1
Skewness0.01428388129
Sum2330338
Variance1.119741378
MonotonicityNot monotonic
2021-05-29T15:54:17.327696image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3326805
36.7%
2164003
18.4%
4154044
17.3%
174276
 
8.3%
566293
 
7.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
174276
 
8.3%
2164003
18.4%
3326805
36.7%
4154044
17.3%
566293
 
7.4%
ValueCountFrequency (%)
566293
 
7.4%
4154044
17.3%
3326805
36.7%
2164003
18.4%
174276
 
8.3%

KBA13_HERST_SONST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.988924411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:17.431750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008134932
Coefficient of variation (CV)0.3372902065
Kurtosis-0.249490373
Mean2.988924411
Median Absolute Deviation (MAD)1
Skewness0.0419679122
Sum2347564
Variance1.016336041
MonotonicityNot monotonic
2021-05-29T15:54:17.542755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3345124
38.7%
2167481
18.8%
4153466
17.2%
561004
 
6.8%
158346
 
6.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
158346
 
6.5%
2167481
18.8%
3345124
38.7%
4153466
17.2%
561004
 
6.8%
ValueCountFrequency (%)
561004
 
6.8%
4153466
17.2%
3345124
38.7%
2167481
18.8%
158346
 
6.5%

KBA13_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.573068456
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:17.647743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9780235791
Coefficient of variation (CV)0.2737209183
Kurtosis-0.5582166908
Mean3.573068456
Median Absolute Deviation (MAD)1
Skewness-0.080459908
Sum2806363
Variance0.9565301212
MonotonicityNot monotonic
2021-05-29T15:54:17.757558image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3319964
35.9%
4212119
23.8%
5168143
18.9%
272085
 
8.1%
113110
 
1.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
113110
 
1.5%
272085
 
8.1%
3319964
35.9%
4212119
23.8%
5168143
18.9%
ValueCountFrequency (%)
5168143
18.9%
4212119
23.8%
3319964
35.9%
272085
 
8.1%
113110
 
1.5%

KBA13_KMH_0_140
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.329368581
Minimum0
Maximum5
Zeros96010
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:17.857123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.529004403
Coefficient of variation (CV)0.6564029479
Kurtosis-1.135330441
Mean2.329368581
Median Absolute Deviation (MAD)2
Skewness0.0449073815
Sum1829535
Variance2.337854465
MonotonicityNot monotonic
2021-05-29T15:54:17.944665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3283566
31.8%
1234424
26.3%
096010
 
10.8%
492670
 
10.4%
572077
 
8.1%
26674
 
0.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
096010
 
10.8%
1234424
26.3%
26674
 
0.7%
3283566
31.8%
492670
 
10.4%
ValueCountFrequency (%)
572077
 
8.1%
492670
 
10.4%
3283566
31.8%
26674
 
0.7%
1234424
26.3%

KBA13_KMH_110
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.32081266
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:18.024739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6765354206
Coefficient of variation (CV)0.5122114901
Kurtosis1.673306755
Mean1.32081266
Median Absolute Deviation (MAD)0
Skewness1.830167801
Sum1037394
Variance0.4577001753
MonotonicityNot monotonic
2021-05-29T15:54:18.113216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1627623
70.4%
394175
 
10.6%
263623
 
7.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
1627623
70.4%
263623
 
7.1%
394175
 
10.6%
ValueCountFrequency (%)
394175
 
10.6%
263623
 
7.1%
1627623
70.4%

KBA13_KMH_140
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.694809535
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:18.198905image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39045331
Coefficient of variation (CV)0.5159746139
Kurtosis-1.371943159
Mean2.694809535
Median Absolute Deviation (MAD)1
Skewness0.05804321828
Sum2116560
Variance1.933360406
MonotonicityNot monotonic
2021-05-29T15:54:18.288300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1249773
28.0%
4202067
22.7%
3167221
18.8%
291648
 
10.3%
574712
 
8.4%
(Missing)105800
11.9%
ValueCountFrequency (%)
1249773
28.0%
291648
 
10.3%
3167221
18.8%
4202067
22.7%
574712
 
8.4%
ValueCountFrequency (%)
574712
 
8.4%
4202067
22.7%
3167221
18.8%
291648
 
10.3%
1249773
28.0%

KBA13_KMH_140_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.849392873
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:18.374011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.971055401
Coefficient of variation (CV)0.3407937916
Kurtosis-0.141204956
Mean2.849392873
Median Absolute Deviation (MAD)1
Skewness0.003660951497
Sum2237973
Variance0.9429485918
MonotonicityNot monotonic
2021-05-29T15:54:18.466299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3361405
40.6%
2179354
20.1%
4133192
 
14.9%
173767
 
8.3%
537703
 
4.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
173767
 
8.3%
2179354
20.1%
3361405
40.6%
4133192
 
14.9%
537703
 
4.2%
ValueCountFrequency (%)
537703
 
4.2%
4133192
 
14.9%
3361405
40.6%
2179354
20.1%
173767
 
8.3%

KBA13_KMH_180
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.932968433
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:18.553003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9700283803
Coefficient of variation (CV)0.3307326356
Kurtosis-0.1700461121
Mean2.932968433
Median Absolute Deviation (MAD)1
Skewness-0.0246193374
Sum2303615
Variance0.9409550586
MonotonicityNot monotonic
2021-05-29T15:54:18.646377image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3355363
39.9%
2170291
19.1%
4155595
17.5%
161574
 
6.9%
542598
 
4.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
161574
 
6.9%
2170291
19.1%
3355363
39.9%
4155595
17.5%
542598
 
4.8%
ValueCountFrequency (%)
542598
 
4.8%
4155595
17.5%
3355363
39.9%
2170291
19.1%
161574
 
6.9%

KBA13_KMH_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.037302288
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:18.733686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9559091031
Coefficient of variation (CV)0.3147230709
Kurtosis-0.1219089259
Mean3.037302288
Median Absolute Deviation (MAD)1
Skewness0.03738418775
Sum2385561
Variance0.9137622133
MonotonicityNot monotonic
2021-05-29T15:54:18.825493image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3361259
40.5%
4164843
18.5%
2161113
18.1%
555495
 
6.2%
142711
 
4.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
142711
 
4.8%
2161113
18.1%
3361259
40.5%
4164843
18.5%
555495
 
6.2%
ValueCountFrequency (%)
555495
 
6.2%
4164843
18.5%
3361259
40.5%
2161113
18.1%
142711
 
4.8%

KBA13_KMH_211
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.457977314
Minimum0
Maximum5
Zeros139463
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:18.909020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4916275
Coefficient of variation (CV)0.6068516139
Kurtosis-0.691175133
Mean2.457977314
Median Absolute Deviation (MAD)1
Skewness-0.232285257
Sum1930547
Variance2.224952599
MonotonicityNot monotonic
2021-05-29T15:54:18.997900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3277452
31.1%
2162264
18.2%
0139463
15.6%
488043
 
9.9%
575823
 
8.5%
142376
 
4.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0139463
15.6%
142376
 
4.8%
2162264
18.2%
3277452
31.1%
488043
 
9.9%
ValueCountFrequency (%)
575823
 
8.5%
488043
 
9.9%
3277452
31.1%
2162264
18.2%
142376
 
4.8%

KBA13_KMH_250
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.455954195
Minimum0
Maximum5
Zeros139756
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:19.076367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.490853642
Coefficient of variation (CV)0.6070364198
Kurtosis-0.6912403951
Mean2.455954195
Median Absolute Deviation (MAD)1
Skewness-0.2340187255
Sum1928958
Variance2.222644582
MonotonicityNot monotonic
2021-05-29T15:54:19.163989image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3278290
31.2%
2161652
18.1%
0139756
15.7%
488055
 
9.9%
575224
 
8.4%
142444
 
4.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0139756
15.7%
142444
 
4.8%
2161652
18.1%
3278290
31.2%
488055
 
9.9%
ValueCountFrequency (%)
575224
 
8.4%
488055
 
9.9%
3278290
31.2%
2161652
18.1%
142444
 
4.8%

KBA13_KMH_251
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.268960214
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:19.245201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6727979848
Coefficient of variation (CV)0.53019628
Kurtosis2.64996194
Mean1.268960214
Median Absolute Deviation (MAD)0
Skewness2.14211484
Sum996668
Variance0.4526571283
MonotonicityNot monotonic
2021-05-29T15:54:19.337454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1674722
75.7%
3100548
 
11.3%
210151
 
1.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
1674722
75.7%
210151
 
1.1%
3100548
 
11.3%
ValueCountFrequency (%)
3100548
 
11.3%
210151
 
1.1%
1674722
75.7%

KBA13_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.866368483
Minimum0
Maximum5
Zeros60
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:19.421659image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.062771916
Coefficient of variation (CV)0.3707729561
Kurtosis-0.4226033777
Mean2.866368483
Median Absolute Deviation (MAD)1
Skewness0.02975234482
Sum2251306
Variance1.129484145
MonotonicityNot monotonic
2021-05-29T15:54:19.530341image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3324094
36.4%
2172621
19.4%
4142200
16.0%
191812
 
10.3%
554634
 
6.1%
060
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
060
 
< 0.1%
191812
 
10.3%
2172621
19.4%
3324094
36.4%
4142200
16.0%
ValueCountFrequency (%)
554634
 
6.1%
4142200
16.0%
3324094
36.4%
2172621
19.4%
191812
 
10.3%

KBA13_KRSHERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.959943775
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:19.625461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01152282
Coefficient of variation (CV)0.3417371737
Kurtosis-0.296252122
Mean2.959943775
Median Absolute Deviation (MAD)1
Skewness-0.0169618502
Sum2324802
Variance1.023178416
MonotonicityNot monotonic
2021-05-29T15:54:19.735974image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3337010
37.8%
2167559
18.8%
4162124
18.2%
165798
 
7.4%
552872
 
5.9%
058
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
058
 
< 0.1%
165798
 
7.4%
2167559
18.8%
3337010
37.8%
4162124
18.2%
ValueCountFrequency (%)
552872
 
5.9%
4162124
18.2%
3337010
37.8%
2167559
18.8%
165798
 
7.4%

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.083095563
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:19.832331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009634881
Coefficient of variation (CV)0.3274744038
Kurtosis-0.2669559679
Mean3.083095563
Median Absolute Deviation (MAD)1
Skewness0.03062636879
Sum2421528
Variance1.019362593
MonotonicityNot monotonic
2021-05-29T15:54:19.942157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3345264
38.7%
4165044
18.5%
2153245
17.2%
574315
 
8.3%
147495
 
5.3%
058
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
058
 
< 0.1%
147495
 
5.3%
2153245
17.2%
3345264
38.7%
4165044
18.5%
ValueCountFrequency (%)
574315
 
8.3%
4165044
18.5%
3345264
38.7%
2153245
17.2%
147495
 
5.3%

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.008965892
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:20.021330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040945041
Coefficient of variation (CV)0.3459477702
Kurtosis-0.3612092944
Mean3.008965892
Median Absolute Deviation (MAD)1
Skewness-0.020214452
Sum2363305
Variance1.083566579
MonotonicityNot monotonic
2021-05-29T15:54:20.110080image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3329240
36.9%
4166035
18.6%
2158597
17.8%
165801
 
7.4%
565690
 
7.4%
058
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
058
 
< 0.1%
165801
 
7.4%
2158597
17.8%
3329240
36.9%
4166035
18.6%
ValueCountFrequency (%)
565690
 
7.4%
4166035
18.6%
3329240
36.9%
2158597
17.8%
165801
 
7.4%

KBA13_KRSSEG_KLEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.994526502
Minimum0
Maximum3
Zeros80
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:20.190301image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2926607486
Coefficient of variation (CV)0.1467319428
Kurtosis8.830096854
Mean1.994526502
Median Absolute Deviation (MAD)0
Skewness-0.1866264927
Sum1566543
Variance0.08565031376
MonotonicityNot monotonic
2021-05-29T15:54:20.275500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2718366
80.6%
135557
 
4.0%
331418
 
3.5%
080
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
080
 
< 0.1%
135557
 
4.0%
2718366
80.6%
331418
 
3.5%
ValueCountFrequency (%)
331418
 
3.5%
2718366
80.6%
135557
 
4.0%
080
 
< 0.1%

KBA13_KRSSEG_OBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.954656165
Minimum0
Maximum3
Zeros343
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:20.360560image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.584312681
Coefficient of variation (CV)0.2989337416
Kurtosis-0.04685040377
Mean1.954656165
Median Absolute Deviation (MAD)0
Skewness-0.007152325529
Sum1535228
Variance0.3414213092
MonotonicityNot monotonic
2021-05-29T15:54:20.447698image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2516676
58.0%
1151665
 
17.0%
3116737
 
13.1%
0343
 
< 0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0343
 
< 0.1%
1151665
 
17.0%
2516676
58.0%
3116737
 
13.1%
ValueCountFrequency (%)
3116737
 
13.1%
2516676
58.0%
1151665
 
17.0%
0343
 
< 0.1%

KBA13_KRSSEG_VAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.945300673
Minimum0
Maximum3
Zeros701
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:20.531734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6154992743
Coefficient of variation (CV)0.316403157
Kurtosis-0.3088564042
Mean1.945300673
Median Absolute Deviation (MAD)0
Skewness0.00976066959
Sum1527880
Variance0.3788393567
MonotonicityNot monotonic
2021-05-29T15:54:20.620166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2487626
54.7%
1169327
 
19.0%
3127767
 
14.3%
0701
 
0.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0701
 
0.1%
1169327
 
19.0%
2487626
54.7%
3127767
 
14.3%
ValueCountFrequency (%)
3127767
 
14.3%
2487626
54.7%
1169327
 
19.0%
0701
 
0.1%

KBA13_KRSZUL_NEU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.832945643
Minimum0
Maximum3
Zeros31337
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:20.704735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7811088614
Coefficient of variation (CV)0.4261494957
Kurtosis-0.4487529293
Mean1.832945643
Median Absolute Deviation (MAD)1
Skewness-0.2014526013
Sum1439634
Variance0.6101310534
MonotonicityNot monotonic
2021-05-29T15:54:20.795794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2378304
42.4%
1222157
24.9%
3153623
17.2%
031337
 
3.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
031337
 
3.5%
1222157
24.9%
2378304
42.4%
3153623
17.2%
ValueCountFrequency (%)
3153623
17.2%
2378304
42.4%
1222157
24.9%
031337
 
3.5%

KBA13_KW_0_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.977746966
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:20.884284image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9681799624
Coefficient of variation (CV)0.3251384262
Kurtosis-0.1479921158
Mean2.977746966
Median Absolute Deviation (MAD)1
Skewness-0.004477006897
Sum2338785
Variance0.9373724396
MonotonicityNot monotonic
2021-05-29T15:54:20.983886image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3357321
40.1%
2165557
18.6%
4159703
17.9%
154326
 
6.1%
548514
 
5.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
154326
 
6.1%
2165557
18.6%
3357321
40.1%
4159703
17.9%
548514
 
5.4%
ValueCountFrequency (%)
548514
 
5.4%
4159703
17.9%
3357321
40.1%
2165557
18.6%
154326
 
6.1%

KBA13_KW_110
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.404902594
Minimum0
Maximum5
Zeros124216
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:21.083444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.429197979
Coefficient of variation (CV)0.5942851834
Kurtosis-0.6151255069
Mean2.404902594
Median Absolute Deviation (MAD)1
Skewness-0.1867778177
Sum1888861
Variance2.042606863
MonotonicityNot monotonic
2021-05-29T15:54:21.188773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3275679
30.9%
2175418
19.7%
0124216
13.9%
483780
 
9.4%
163943
 
7.2%
562385
 
7.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0124216
13.9%
163943
 
7.2%
2175418
19.7%
3275679
30.9%
483780
 
9.4%
ValueCountFrequency (%)
562385
 
7.0%
483780
 
9.4%
3275679
30.9%
2175418
19.7%
163943
 
7.2%

KBA13_KW_120
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.376123124
Minimum0
Maximum5
Zeros85028
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:21.281467image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.505369925
Coefficient of variation (CV)0.6335403707
Kurtosis-1.085804921
Mean2.376123124
Median Absolute Deviation (MAD)1
Skewness0.02742583434
Sum1866257
Variance2.26613861
MonotonicityNot monotonic
2021-05-29T15:54:21.387015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3281415
31.6%
1226709
25.4%
494774
 
10.6%
085028
 
9.5%
573739
 
8.3%
223756
 
2.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
085028
 
9.5%
1226709
25.4%
223756
 
2.7%
3281415
31.6%
494774
 
10.6%
ValueCountFrequency (%)
573739
 
8.3%
494774
 
10.6%
3281415
31.6%
223756
 
2.7%
1226709
25.4%

KBA13_KW_121
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.506342458
Minimum0
Maximum5
Zeros95195
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:21.480936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.437424207
Coefficient of variation (CV)0.5735146857
Kurtosis-0.6820698445
Mean2.506342458
Median Absolute Deviation (MAD)1
Skewness-0.1469732264
Sum1968534
Variance2.066188352
MonotonicityNot monotonic
2021-05-29T15:54:21.586234image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3282845
31.7%
2135033
15.2%
1105706
 
11.9%
095195
 
10.7%
488983
 
10.0%
577659
 
8.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
095195
 
10.7%
1105706
 
11.9%
2135033
15.2%
3282845
31.7%
488983
 
10.0%
ValueCountFrequency (%)
577659
 
8.7%
488983
 
10.0%
3282845
31.7%
2135033
15.2%
1105706
 
11.9%

KBA13_KW_30
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.404982805
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:21.696245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6811057132
Coefficient of variation (CV)0.4847786824
Kurtosis0.546694219
Mean1.404982805
Median Absolute Deviation (MAD)0
Skewness1.404384136
Sum1103503
Variance0.4639049926
MonotonicityNot monotonic
2021-05-29T15:54:21.801859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1554887
62.3%
2142986
 
16.0%
387548
 
9.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
1554887
62.3%
2142986
 
16.0%
387548
 
9.8%
ValueCountFrequency (%)
387548
 
9.8%
2142986
 
16.0%
1554887
62.3%

KBA13_KW_40
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.405065564
Minimum0
Maximum5
Zeros99260
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:21.899225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.412106484
Coefficient of variation (CV)0.5871384571
Kurtosis-0.7035299729
Mean2.405065564
Median Absolute Deviation (MAD)1
Skewness-0.1112622062
Sum1888989
Variance1.994044723
MonotonicityNot monotonic
2021-05-29T15:54:22.004030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3283084
31.8%
2135456
15.2%
1121060
13.6%
099260
 
11.1%
485040
 
9.5%
561521
 
6.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
099260
 
11.1%
1121060
13.6%
2135456
15.2%
3283084
31.8%
485040
 
9.5%
ValueCountFrequency (%)
561521
 
6.9%
485040
 
9.5%
3283084
31.8%
2135456
15.2%
1121060
13.6%

KBA13_KW_50
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.340691171
Minimum0
Maximum5
Zeros143215
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:22.082617image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.441927482
Coefficient of variation (CV)0.6160263686
Kurtosis-0.6654361611
Mean2.340691171
Median Absolute Deviation (MAD)1
Skewness-0.1965794704
Sum1838428
Variance2.079154863
MonotonicityNot monotonic
2021-05-29T15:54:22.172336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3273920
30.7%
2181545
20.4%
0143215
16.1%
481007
 
9.1%
555954
 
6.3%
149780
 
5.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0143215
16.1%
149780
 
5.6%
2181545
20.4%
3273920
30.7%
481007
 
9.1%
ValueCountFrequency (%)
555954
 
6.3%
481007
 
9.1%
3273920
30.7%
2181545
20.4%
149780
 
5.6%

KBA13_KW_60
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.291350753
Minimum0
Maximum5
Zeros132144
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:22.253386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.411953977
Coefficient of variation (CV)0.6162103181
Kurtosis-0.6772758285
Mean2.291350753
Median Absolute Deviation (MAD)1
Skewness-0.1356137415
Sum1799675
Variance1.993614032
MonotonicityNot monotonic
2021-05-29T15:54:22.345912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3267832
30.1%
2178524
20.0%
0132144
14.8%
179264
 
8.9%
478418
 
8.8%
549239
 
5.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0132144
14.8%
179264
 
8.9%
2178524
20.0%
3267832
30.1%
478418
 
8.8%
ValueCountFrequency (%)
549239
 
5.5%
478418
 
8.8%
3267832
30.1%
2178524
20.0%
179264
 
8.9%

KBA13_KW_61_120
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.996188032
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:22.430947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.957387381
Coefficient of variation (CV)0.3195351463
Kurtosis-0.1183664025
Mean2.996188032
Median Absolute Deviation (MAD)1
Skewness0.00901129231
Sum2353269
Variance0.9165905973
MonotonicityNot monotonic
2021-05-29T15:54:22.527822image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3360881
40.5%
2164699
18.5%
4161381
18.1%
549311
 
5.5%
149149
 
5.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
149149
 
5.5%
2164699
18.5%
3360881
40.5%
4161381
18.1%
549311
 
5.5%
ValueCountFrequency (%)
549311
 
5.5%
4161381
18.1%
3360881
40.5%
2164699
18.5%
149149
 
5.5%

KBA13_KW_70
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.336340638
Minimum0
Maximum5
Zeros141548
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:22.614984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43027192
Coefficient of variation (CV)0.612184669
Kurtosis-0.6384107083
Mean2.336340638
Median Absolute Deviation (MAD)1
Skewness-0.2016039605
Sum1835011
Variance2.045677765
MonotonicityNot monotonic
2021-05-29T15:54:22.707912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3276717
31.0%
2184387
20.7%
0141548
15.9%
478915
 
8.9%
554143
 
6.1%
149711
 
5.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0141548
15.9%
149711
 
5.6%
2184387
20.7%
3276717
31.0%
478915
 
8.9%
ValueCountFrequency (%)
554143
 
6.1%
478915
 
8.9%
3276717
31.0%
2184387
20.7%
149711
 
5.6%

KBA13_KW_80
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.310013356
Minimum0
Maximum5
Zeros129268
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:22.789671image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.410660844
Coefficient of variation (CV)0.6106721593
Kurtosis-0.6506222787
Mean2.310013356
Median Absolute Deviation (MAD)1
Skewness-0.1381494907
Sum1814333
Variance1.989964017
MonotonicityNot monotonic
2021-05-29T15:54:22.883998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3269221
30.2%
2180524
20.3%
0129268
14.5%
477562
 
8.7%
177214
 
8.7%
551632
 
5.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0129268
14.5%
177214
 
8.7%
2180524
20.3%
3269221
30.2%
477562
 
8.7%
ValueCountFrequency (%)
551632
 
5.8%
477562
 
8.7%
3269221
30.2%
2180524
20.3%
177214
 
8.7%

KBA13_KW_90
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.382883829
Minimum0
Maximum5
Zeros133326
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:23.784329image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43007608
Coefficient of variation (CV)0.6001451108
Kurtosis-0.6102998176
Mean2.382883829
Median Absolute Deviation (MAD)1
Skewness-0.2104813536
Sum1871567
Variance2.045117594
MonotonicityNot monotonic
2021-05-29T15:54:23.877816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3277407
31.1%
2181685
20.4%
0133326
15.0%
482747
 
9.3%
558683
 
6.6%
151573
 
5.8%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0133326
15.0%
151573
 
5.8%
2181685
20.4%
3277407
31.1%
482747
 
9.3%
ValueCountFrequency (%)
558683
 
6.6%
482747
 
9.3%
3277407
31.1%
2181685
20.4%
151573
 
5.8%

KBA13_MAZDA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.085354224
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:23.958335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9999305686
Coefficient of variation (CV)0.3240893901
Kurtosis-0.2732084853
Mean3.085354224
Median Absolute Deviation (MAD)1
Skewness0.03833379357
Sum2423302
Variance0.999861142
MonotonicityNot monotonic
2021-05-29T15:54:24.051256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3343060
38.5%
4169148
19.0%
2156989
17.6%
571832
 
8.1%
144392
 
5.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
144392
 
5.0%
2156989
17.6%
3343060
38.5%
4169148
19.0%
571832
 
8.1%
ValueCountFrequency (%)
571832
 
8.1%
4169148
19.0%
3343060
38.5%
2156989
17.6%
144392
 
5.0%

KBA13_MERCEDES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.144134165
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:24.141417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.023847419
Coefficient of variation (CV)0.3256373187
Kurtosis-0.2915446887
Mean3.144134165
Median Absolute Deviation (MAD)1
Skewness-0.04624485669
Sum2469469
Variance1.048263538
MonotonicityNot monotonic
2021-05-29T15:54:24.237194image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3340379
38.2%
4178995
20.1%
2134513
 
15.1%
582948
 
9.3%
148586
 
5.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
148586
 
5.5%
2134513
 
15.1%
3340379
38.2%
4178995
20.1%
582948
 
9.3%
ValueCountFrequency (%)
582948
 
9.3%
4178995
20.1%
3340379
38.2%
2134513
 
15.1%
148586
 
5.5%

KBA13_MOTOR
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.786029403
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:24.325233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7684956746
Coefficient of variation (CV)0.2758390395
Kurtosis0.3636586994
Mean2.786029403
Median Absolute Deviation (MAD)0
Skewness-0.6765501448
Sum2188206
Variance0.5905856019
MonotonicityNot monotonic
2021-05-29T15:54:24.410316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3474886
53.3%
2144655
 
16.2%
4102786
 
11.5%
163094
 
7.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
163094
 
7.1%
2144655
 
16.2%
3474886
53.3%
4102786
 
11.5%
ValueCountFrequency (%)
4102786
 
11.5%
3474886
53.3%
2144655
 
16.2%
163094
 
7.1%

KBA13_NISSAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.060305238
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:24.496125image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.018649556
Coefficient of variation (CV)0.3328588088
Kurtosis-0.3198890741
Mean3.060305238
Median Absolute Deviation (MAD)1
Skewness0.02542864259
Sum2403628
Variance1.037646918
MonotonicityNot monotonic
2021-05-29T15:54:24.592872image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3335457
37.6%
4167124
18.8%
2160213
18.0%
571427
 
8.0%
151200
 
5.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
151200
 
5.7%
2160213
18.0%
3335457
37.6%
4167124
18.8%
571427
 
8.0%
ValueCountFrequency (%)
571427
 
8.0%
4167124
18.8%
3335457
37.6%
2160213
18.0%
151200
 
5.7%

KBA13_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.971934797
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:24.684421image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054774458
Coefficient of variation (CV)0.354911709
Kurtosis-0.3888872585
Mean2.971934797
Median Absolute Deviation (MAD)1
Skewness0.01530471319
Sum2334220
Variance1.112549157
MonotonicityNot monotonic
2021-05-29T15:54:24.792060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3327618
36.8%
2164244
18.4%
4154681
17.4%
172559
 
8.1%
566319
 
7.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
172559
 
8.1%
2164244
18.4%
3327618
36.8%
4154681
17.4%
566319
 
7.4%
ValueCountFrequency (%)
566319
 
7.4%
4154681
17.4%
3327618
36.8%
2164244
18.4%
172559
 
8.1%

KBA13_PEUGEOT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071690215
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:24.882477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009348941
Coefficient of variation (CV)0.3285972448
Kurtosis-0.2810327462
Mean3.071690215
Median Absolute Deviation (MAD)1
Skewness0.005979796258
Sum2412570
Variance1.018785286
MonotonicityNot monotonic
2021-05-29T15:54:24.979121image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3340805
38.2%
4170378
19.1%
2154373
17.3%
570008
 
7.9%
149857
 
5.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
149857
 
5.6%
2154373
17.3%
3340805
38.2%
4170378
19.1%
570008
 
7.9%
ValueCountFrequency (%)
570008
 
7.9%
4170378
19.1%
3340805
38.2%
2154373
17.3%
149857
 
5.6%

KBA13_RENAULT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.043497691
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:25.070632image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.023269502
Coefficient of variation (CV)0.3362149755
Kurtosis-0.3172444644
Mean3.043497691
Median Absolute Deviation (MAD)1
Skewness0.02578168102
Sum2390427
Variance1.047080473
MonotonicityNot monotonic
2021-05-29T15:54:25.173089image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3336384
37.7%
4163307
18.3%
2160781
18.0%
570384
 
7.9%
154565
 
6.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
154565
 
6.1%
2160781
18.0%
3336384
37.7%
4163307
18.3%
570384
 
7.9%
ValueCountFrequency (%)
570384
 
7.9%
4163307
18.3%
3336384
37.7%
2160781
18.0%
154565
 
6.1%

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.910411104
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:25.276555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.00128961
Coefficient of variation (CV)0.3440371735
Kurtosis-0.2354138036
Mean2.910411104
Median Absolute Deviation (MAD)1
Skewness0.04496522077
Sum2285898
Variance1.002580883
MonotonicityNot monotonic
2021-05-29T15:54:25.387881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3345193
38.7%
2178645
20.0%
4143742
16.1%
167786
 
7.6%
550055
 
5.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
167786
 
7.6%
2178645
20.0%
3345193
38.7%
4143742
16.1%
550055
 
5.6%
ValueCountFrequency (%)
550055
 
5.6%
4143742
16.1%
3345193
38.7%
2178645
20.0%
167786
 
7.6%

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.0763756
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:25.491755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013363044
Coefficient of variation (CV)0.3294015997
Kurtosis-0.2866336078
Mean3.0763756
Median Absolute Deviation (MAD)1
Skewness0.003810624845
Sum2416250
Variance1.026904659
MonotonicityNot monotonic
2021-05-29T15:54:25.603766image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3340642
38.2%
4169944
19.1%
2152717
17.1%
571749
 
8.1%
150369
 
5.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
150369
 
5.7%
2152717
17.1%
3340642
38.2%
4169944
19.1%
571749
 
8.1%
ValueCountFrequency (%)
571749
 
8.1%
4169944
19.1%
3340642
38.2%
2152717
17.1%
150369
 
5.7%

KBA13_SEG_KLEINST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.989147222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:25.708533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.027774689
Coefficient of variation (CV)0.3438354194
Kurtosis-0.3105633099
Mean2.989147222
Median Absolute Deviation (MAD)1
Skewness0.0035994102
Sum2347739
Variance1.05632081
MonotonicityNot monotonic
2021-05-29T15:54:25.818201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3337591
37.9%
2161954
18.2%
4158570
17.8%
164938
 
7.3%
562368
 
7.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
164938
 
7.3%
2161954
18.2%
3337591
37.9%
4158570
17.8%
562368
 
7.0%
ValueCountFrequency (%)
562368
 
7.0%
4158570
17.8%
3337591
37.9%
2161954
18.2%
164938
 
7.3%

KBA13_SEG_KLEINWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.945590963
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:25.921671image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016326004
Coefficient of variation (CV)0.3450329718
Kurtosis-0.2799374875
Mean2.945590963
Median Absolute Deviation (MAD)1
Skewness0.007787052256
Sum2313529
Variance1.032918546
MonotonicityNot monotonic
2021-05-29T15:54:26.032087image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3341514
38.3%
2167806
18.8%
4152870
17.2%
168565
 
7.7%
554666
 
6.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
168565
 
7.7%
2167806
18.8%
3341514
38.3%
4152870
17.2%
554666
 
6.1%
ValueCountFrequency (%)
554666
 
6.1%
4152870
17.2%
3341514
38.3%
2167806
18.8%
168565
 
7.7%

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.950019162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:26.136020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.017613686
Coefficient of variation (CV)0.3449515511
Kurtosis-0.2556275617
Mean2.950019162
Median Absolute Deviation (MAD)1
Skewness0.06779764668
Sum2317007
Variance1.035537613
MonotonicityNot monotonic
2021-05-29T15:54:26.233162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3344398
38.6%
2173314
19.4%
4142952
16.0%
164602
 
7.2%
560155
 
6.7%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
164602
 
7.2%
2173314
19.4%
3344398
38.6%
4142952
16.0%
560155
 
6.7%
ValueCountFrequency (%)
560155
 
6.7%
4142952
16.0%
3344398
38.6%
2173314
19.4%
164602
 
7.2%

KBA13_SEG_MINIVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.019059842
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:26.334530image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.015220344
Coefficient of variation (CV)0.3362703613
Kurtosis-0.2773302807
Mean3.019059842
Median Absolute Deviation (MAD)1
Skewness0.02161412212
Sum2371233
Variance1.030672346
MonotonicityNot monotonic
2021-05-29T15:54:26.432204image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3341862
38.4%
2161436
18.1%
4160044
18.0%
565130
 
7.3%
156949
 
6.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
156949
 
6.4%
2161436
18.1%
3341862
38.4%
4160044
18.0%
565130
 
7.3%
ValueCountFrequency (%)
565130
 
7.3%
4160044
18.0%
3341862
38.4%
2161436
18.1%
156949
 
6.4%

KBA13_SEG_MINIWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.117098983
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:26.522956image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.011775398
Coefficient of variation (CV)0.3245887935
Kurtosis-0.2952355287
Mean3.117098983
Median Absolute Deviation (MAD)1
Skewness-0.004778260809
Sum2448235
Variance1.023689456
MonotonicityNot monotonic
2021-05-29T15:54:26.620127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3339598
38.1%
4176093
19.8%
2146739
16.5%
577150
 
8.7%
145841
 
5.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
145841
 
5.1%
2146739
16.5%
3339598
38.1%
4176093
19.8%
577150
 
8.7%
ValueCountFrequency (%)
577150
 
8.7%
4176093
19.8%
3339598
38.1%
2146739
16.5%
145841
 
5.1%

KBA13_SEG_MITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.05885506
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:26.713170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.026027661
Coefficient of variation (CV)0.3354286625
Kurtosis-0.3186655989
Mean3.05885506
Median Absolute Deviation (MAD)1
Skewness0.01975961955
Sum2402489
Variance1.052732762
MonotonicityNot monotonic
2021-05-29T15:54:26.810148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3337241
37.8%
4164192
18.4%
2156862
17.6%
573287
 
8.2%
153839
 
6.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
153839
 
6.0%
2156862
17.6%
3337241
37.8%
4164192
18.4%
573287
 
8.2%
ValueCountFrequency (%)
573287
 
8.2%
4164192
18.4%
3337241
37.8%
2156862
17.6%
153839
 
6.0%

KBA13_SEG_OBEREMITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.16138224
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:26.901349image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009668645
Coefficient of variation (CV)0.3193756933
Kurtosis-0.2652926601
Mean3.16138224
Median Absolute Deviation (MAD)1
Skewness-0.04729643046
Sum2483016
Variance1.019430772
MonotonicityNot monotonic
2021-05-29T15:54:26.998210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3342284
38.4%
4184285
20.7%
2132852
 
14.9%
581830
 
9.2%
144170
 
5.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
144170
 
5.0%
2132852
 
14.9%
3342284
38.4%
4184285
20.7%
581830
 
9.2%
ValueCountFrequency (%)
581830
 
9.2%
4184285
20.7%
3342284
38.4%
2132852
 
14.9%
144170
 
5.0%

KBA13_SEG_OBERKLASSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.496482778
Minimum0
Maximum5
Zeros86270
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:27.085744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.479815703
Coefficient of variation (CV)0.592760229
Kurtosis-0.8873647102
Mean2.496482778
Median Absolute Deviation (MAD)1
Skewness-0.08086214335
Sum1960790
Variance2.189854516
MonotonicityNot monotonic
2021-05-29T15:54:27.178499image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3283488
31.8%
1157682
17.7%
491369
 
10.3%
086270
 
9.7%
584648
 
9.5%
281964
 
9.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
086270
 
9.7%
1157682
17.7%
281964
 
9.2%
3283488
31.8%
491369
 
10.3%
ValueCountFrequency (%)
584648
 
9.5%
491369
 
10.3%
3283488
31.8%
281964
 
9.2%
1157682
17.7%

KBA13_SEG_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071439394
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:27.272470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9634001073
Coefficient of variation (CV)0.313664046
Kurtosis-0.2084499485
Mean3.071439394
Median Absolute Deviation (MAD)1
Skewness0.105852725
Sum2412373
Variance0.9281397668
MonotonicityNot monotonic
2021-05-29T15:54:27.383064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3352268
39.5%
2167674
18.8%
4165534
18.6%
564535
 
7.2%
135410
 
4.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
135410
 
4.0%
2167674
18.8%
3352268
39.5%
4165534
18.6%
564535
 
7.2%
ValueCountFrequency (%)
564535
 
7.2%
4165534
18.6%
3352268
39.5%
2167674
18.8%
135410
 
4.0%

KBA13_SEG_SPORTWAGEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.566941806
Minimum0
Maximum5
Zeros83421
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:27.482315image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.437284235
Coefficient of variation (CV)0.5599208487
Kurtosis-0.6774174457
Mean2.566941806
Median Absolute Deviation (MAD)1
Skewness-0.1182886889
Sum2016130
Variance2.065785971
MonotonicityNot monotonic
2021-05-29T15:54:27.587796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3267922
30.1%
2146930
16.5%
1106267
 
11.9%
492168
 
10.3%
588713
 
10.0%
083421
 
9.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
083421
 
9.4%
1106267
 
11.9%
2146930
16.5%
3267922
30.1%
492168
 
10.3%
ValueCountFrequency (%)
588713
 
10.0%
492168
 
10.3%
3267922
30.1%
2146930
16.5%
1106267
 
11.9%

KBA13_SEG_UTILITIES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.016090734
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:27.685198image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9987008987
Coefficient of variation (CV)0.3311242887
Kurtosis-0.236473804
Mean3.016090734
Median Absolute Deviation (MAD)1
Skewness0.03135281726
Sum2368901
Variance0.9974034852
MonotonicityNot monotonic
2021-05-29T15:54:27.809379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3346456
38.9%
2164012
18.4%
4160080
18.0%
561579
 
6.9%
153294
 
6.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
153294
 
6.0%
2164012
18.4%
3346456
38.9%
4160080
18.0%
561579
 
6.9%
ValueCountFrequency (%)
561579
 
6.9%
4160080
18.0%
3346456
38.9%
2164012
18.4%
153294
 
6.0%

KBA13_SEG_VAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.047091942
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:27.913969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.011614965
Coefficient of variation (CV)0.3319935808
Kurtosis-0.2780181596
Mean3.047091942
Median Absolute Deviation (MAD)1
Skewness0.01287845449
Sum2393250
Variance1.023364837
MonotonicityNot monotonic
2021-05-29T15:54:28.024534image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3341438
38.3%
4165710
18.6%
2157763
17.7%
567515
 
7.6%
152995
 
5.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
152995
 
5.9%
2157763
17.7%
3341438
38.3%
4165710
18.6%
567515
 
7.6%
ValueCountFrequency (%)
567515
 
7.6%
4165710
18.6%
3341438
38.3%
2157763
17.7%
152995
 
5.9%

KBA13_SEG_WOHNMOBILE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.538732731
Minimum0
Maximum5
Zeros85796
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:28.123522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4113662
Coefficient of variation (CV)0.5559333531
Kurtosis-0.5925733501
Mean2.538732731
Median Absolute Deviation (MAD)1
Skewness-0.1201331485
Sum1993974
Variance1.991954549
MonotonicityNot monotonic
2021-05-29T15:54:28.228472image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3269140
30.2%
2165205
18.5%
195326
 
10.7%
488952
 
10.0%
085796
 
9.6%
581002
 
9.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
085796
 
9.6%
195326
 
10.7%
2165205
18.5%
3269140
30.2%
488952
 
10.0%
ValueCountFrequency (%)
581002
 
9.1%
488952
 
10.0%
3269140
30.2%
2165205
18.5%
195326
 
10.7%

KBA13_SITZE_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.170896882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:28.312948image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053637274
Coefficient of variation (CV)0.3322836766
Kurtosis-0.3741859454
Mean3.170896882
Median Absolute Deviation (MAD)1
Skewness-0.07752814291
Sum2490489
Variance1.110151505
MonotonicityNot monotonic
2021-05-29T15:54:28.405808image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3328454
36.9%
4181695
20.4%
2129303
 
14.5%
593443
 
10.5%
152526
 
5.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
152526
 
5.9%
2129303
 
14.5%
3328454
36.9%
4181695
20.4%
593443
 
10.5%
ValueCountFrequency (%)
593443
 
10.5%
4181695
20.4%
3328454
36.9%
2129303
 
14.5%
152526
 
5.9%

KBA13_SITZE_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.842810416
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:28.495333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.056045367
Coefficient of variation (CV)0.3714793505
Kurtosis-0.3663480459
Mean2.842810416
Median Absolute Deviation (MAD)1
Skewness0.08106634845
Sum2232803
Variance1.115231817
MonotonicityNot monotonic
2021-05-29T15:54:28.591307image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3330228
37.1%
2179693
20.2%
4128787
 
14.5%
191495
 
10.3%
555218
 
6.2%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
191495
 
10.3%
2179693
20.2%
3330228
37.1%
4128787
 
14.5%
555218
 
6.2%
ValueCountFrequency (%)
555218
 
6.2%
4128787
 
14.5%
3330228
37.1%
2179693
20.2%
191495
 
10.3%

KBA13_SITZE_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071780612
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:28.682324image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.041083422
Coefficient of variation (CV)0.3389185473
Kurtosis-0.3359134628
Mean3.071780612
Median Absolute Deviation (MAD)1
Skewness-0.01783118518
Sum2412641
Variance1.083854693
MonotonicityNot monotonic
2021-05-29T15:54:28.779724image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3336224
37.7%
4166528
18.7%
2147292
16.5%
576974
 
8.6%
158403
 
6.6%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
158403
 
6.6%
2147292
16.5%
3336224
37.7%
4166528
18.7%
576974
 
8.6%
ValueCountFrequency (%)
576974
 
8.6%
4166528
18.7%
3336224
37.7%
2147292
16.5%
158403
 
6.6%

KBA13_TOYOTA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.074966165
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:28.871122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.00738911
Coefficient of variation (CV)0.3276098194
Kurtosis-0.275069165
Mean3.074966165
Median Absolute Deviation (MAD)1
Skewness0.03088738237
Sum2415143
Variance1.014832818
MonotonicityNot monotonic
2021-05-29T15:54:28.967993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3343193
38.5%
4166426
18.7%
2156050
17.5%
572002
 
8.1%
147750
 
5.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
147750
 
5.4%
2156050
17.5%
3343193
38.5%
4166426
18.7%
572002
 
8.1%
ValueCountFrequency (%)
572002
 
8.1%
4166426
18.7%
3343193
38.5%
2156050
17.5%
147750
 
5.4%

KBA13_VORB_0
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.117557335
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:29.059755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9754946668
Coefficient of variation (CV)0.3129035209
Kurtosis-0.2348234341
Mean3.117557335
Median Absolute Deviation (MAD)1
Skewness0.05883266026
Sum2448595
Variance0.9515898451
MonotonicityNot monotonic
2021-05-29T15:54:29.157602image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3349837
39.3%
4174276
19.6%
2153752
17.3%
571730
 
8.0%
135826
 
4.0%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
135826
 
4.0%
2153752
17.3%
3349837
39.3%
4174276
19.6%
571730
 
8.0%
ValueCountFrequency (%)
571730
 
8.0%
4174276
19.6%
3349837
39.3%
2153752
17.3%
135826
 
4.0%

KBA13_VORB_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.980660054
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:29.249375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9573924606
Coefficient of variation (CV)0.3212014934
Kurtosis-0.1143704123
Mean2.980660054
Median Absolute Deviation (MAD)1
Skewness0.01130679911
Sum2341073
Variance0.9166003237
MonotonicityNot monotonic
2021-05-29T15:54:29.370399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3361449
40.6%
2167076
18.7%
4158150
17.7%
150939
 
5.7%
547807
 
5.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
150939
 
5.7%
2167076
18.7%
3361449
40.6%
4158150
17.7%
547807
 
5.4%
ValueCountFrequency (%)
547807
 
5.4%
4158150
17.7%
3361449
40.6%
2167076
18.7%
150939
 
5.7%

KBA13_VORB_1_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.916886612
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:29.474322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9618988892
Coefficient of variation (CV)0.329769037
Kurtosis-0.1425131331
Mean2.916886612
Median Absolute Deviation (MAD)1
Skewness-0.01957916548
Sum2290984
Variance0.9252494731
MonotonicityNot monotonic
2021-05-29T15:54:29.584564image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3359262
40.3%
2173047
19.4%
4151120
17.0%
161834
 
6.9%
540158
 
4.5%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
161834
 
6.9%
2173047
19.4%
3359262
40.3%
4151120
17.0%
540158
 
4.5%
ValueCountFrequency (%)
540158
 
4.5%
4151120
17.0%
3359262
40.3%
2173047
19.4%
161834
 
6.9%

KBA13_VORB_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.011097233
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:29.690552image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9438052494
Coefficient of variation (CV)0.3134423024
Kurtosis-0.09426693007
Mean3.011097233
Median Absolute Deviation (MAD)1
Skewness0.03479750123
Sum2364979
Variance0.8907683488
MonotonicityNot monotonic
2021-05-29T15:54:29.800724image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3363866
40.8%
2166317
18.7%
4162515
18.2%
549491
 
5.6%
143232
 
4.9%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
143232
 
4.9%
2166317
18.7%
3363866
40.8%
4162515
18.2%
549491
 
5.6%
ValueCountFrequency (%)
549491
 
5.6%
4162515
18.2%
3363866
40.8%
2166317
18.7%
143232
 
4.9%

KBA13_VORB_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.354173112
Minimum0
Maximum5
Zeros143284
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:29.900408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.469417336
Coefficient of variation (CV)0.6241755664
Kurtosis-0.7135883338
Mean2.354173112
Median Absolute Deviation (MAD)1
Skewness-0.1573543125
Sum1849017
Variance2.159187307
MonotonicityNot monotonic
2021-05-29T15:54:30.005430image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3264685
29.7%
2177458
19.9%
0143284
16.1%
481176
 
9.1%
564131
 
7.2%
154687
 
6.1%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
0143284
16.1%
154687
 
6.1%
2177458
19.9%
3264685
29.7%
481176
 
9.1%
ValueCountFrequency (%)
564131
 
7.2%
481176
 
9.1%
3264685
29.7%
2177458
19.9%
154687
 
6.1%

KBA13_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.935192718
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:30.102812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.028888231
Coefficient of variation (CV)0.3505351537
Kurtosis-0.314335131
Mean2.935192718
Median Absolute Deviation (MAD)1
Skewness0.02891231007
Sum2305362
Variance1.058610991
MonotonicityNot monotonic
2021-05-29T15:54:30.212793image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3336588
37.8%
2171175
19.2%
4149018
16.7%
171506
 
8.0%
557134
 
6.4%
(Missing)105800
 
11.9%
ValueCountFrequency (%)
171506
 
8.0%
2171175
19.2%
3336588
37.8%
4149018
16.7%
557134
 
6.4%
ValueCountFrequency (%)
557134
 
6.4%
4149018
16.7%
3336588
37.8%
2171175
19.2%
171506
 
8.0%

KK_KUNDENTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing584612
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean3.410640262
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:30.312537image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.628844193
Coefficient of variation (CV)0.4775772489
Kurtosis-1.160216118
Mean3.410640262
Median Absolute Deviation (MAD)1
Skewness0.1480185173
Sum1045733
Variance2.653133406
MonotonicityNot monotonic
2021-05-29T15:54:30.403056image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
365151
 
7.3%
262564
 
7.0%
548038
 
5.4%
444512
 
5.0%
644114
 
4.9%
142230
 
4.7%
(Missing)584612
65.6%
ValueCountFrequency (%)
142230
4.7%
262564
7.0%
365151
7.3%
444512
5.0%
548038
5.4%
ValueCountFrequency (%)
644114
4.9%
548038
5.4%
444512
5.0%
365151
7.3%
262564
7.0%

KKK
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing121196
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.592991137
Minimum0
Maximum4
Zeros36868
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:30.487300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.119051963
Coefficient of variation (CV)0.4315679863
Kurtosis-0.4820875211
Mean2.592991137
Median Absolute Deviation (MAD)1
Skewness-0.5270239196
Sum1996668
Variance1.252277297
MonotonicityNot monotonic
2021-05-29T15:54:30.579609image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3273024
30.6%
2181519
20.4%
4178648
20.0%
199966
 
11.2%
036868
 
4.1%
(Missing)121196
13.6%
ValueCountFrequency (%)
036868
 
4.1%
199966
 
11.2%
2181519
20.4%
3273024
30.6%
4178648
20.0%
ValueCountFrequency (%)
4178648
20.0%
3273024
30.6%
2181519
20.4%
199966
 
11.2%
036868
 
4.1%

KOMBIALTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.517954581
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:30.666723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.110462436
Coefficient of variation (CV)0.5999117916
Kurtosis2.058678418
Mean3.517954581
Median Absolute Deviation (MAD)1
Skewness1.584797468
Sum3135275
Variance4.454051693
MonotonicityNot monotonic
2021-05-29T15:54:30.758483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4272770
30.6%
3246214
27.6%
2183764
20.6%
194779
 
10.6%
993694
 
10.5%
ValueCountFrequency (%)
194779
 
10.6%
2183764
20.6%
3246214
27.6%
4272770
30.6%
993694
 
10.5%
ValueCountFrequency (%)
993694
 
10.5%
4272770
30.6%
3246214
27.6%
2183764
20.6%
194779
 
10.6%

KONSUMNAEHE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing73969
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean3.018452081
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:30.853268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.550311878
Coefficient of variation (CV)0.5136115586
Kurtosis-1.089230428
Mean3.018452081
Median Absolute Deviation (MAD)1
Skewness0.1833736883
Sum2466836
Variance2.403466919
MonotonicityNot monotonic
2021-05-29T15:54:30.951320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1193738
21.7%
3171127
19.2%
5153535
17.2%
2134665
15.1%
4133324
15.0%
626625
 
3.0%
74238
 
0.5%
(Missing)73969
 
8.3%
ValueCountFrequency (%)
1193738
21.7%
2134665
15.1%
3171127
19.2%
4133324
15.0%
5153535
17.2%
ValueCountFrequency (%)
74238
 
0.5%
626625
 
3.0%
5153535
17.2%
4133324
15.0%
3171127
19.2%

KONSUMZELLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean0.2361646781
Minimum0
Maximum1
Zeros609591
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:31.047194image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.424724792
Coefficient of variation (CV)1.798426401
Kurtosis-0.4564791614
Mean0.2361646781
Median Absolute Deviation (MAD)0
Skewness1.242385601
Sum188475
Variance0.180391149
MonotonicityNot monotonic
2021-05-29T15:54:31.153594image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0609591
68.4%
1188475
 
21.1%
(Missing)93155
 
10.5%
ValueCountFrequency (%)
0609591
68.4%
1188475
 
21.1%
ValueCountFrequency (%)
1188475
 
21.1%
0609591
68.4%

LP_FAMILIE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.599574443
Minimum0
Maximum11
Zeros72938
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:31.260446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q38
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.926486236
Coefficient of variation (CV)1.090819567
Kurtosis-0.9106001239
Mean3.599574443
Median Absolute Deviation (MAD)1
Skewness0.9410430432
Sum3190544
Variance15.41729416
MonotonicityNot monotonic
2021-05-29T15:54:31.362952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1426379
47.8%
10137913
 
15.5%
2104305
 
11.7%
072938
 
8.2%
1151719
 
5.8%
823032
 
2.6%
720730
 
2.3%
412303
 
1.4%
511920
 
1.3%
911148
 
1.3%
Other values (2)13980
 
1.6%
ValueCountFrequency (%)
072938
 
8.2%
1426379
47.8%
2104305
 
11.7%
34958
 
0.6%
412303
 
1.4%
ValueCountFrequency (%)
1151719
 
5.8%
10137913
15.5%
911148
 
1.3%
823032
 
2.6%
720730
 
2.3%

LP_FAMILIE_GROB
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.185965858
Minimum0
Maximum5
Zeros72938
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:31.451333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.756537367
Coefficient of variation (CV)0.803552059
Kurtosis-1.141298857
Mean2.185965858
Median Absolute Deviation (MAD)1
Skewness0.6934485098
Sum1937568
Variance3.08542352
MonotonicityNot monotonic
2021-05-29T15:54:31.551589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1426379
47.8%
5200780
22.5%
2104305
 
11.7%
072938
 
8.2%
452784
 
5.9%
329181
 
3.3%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
072938
 
8.2%
1426379
47.8%
2104305
 
11.7%
329181
 
3.3%
452784
 
5.9%
ValueCountFrequency (%)
5200780
22.5%
452784
 
5.9%
329181
 
3.3%
2104305
 
11.7%
1426379
47.8%

LP_LEBENSPHASE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean14.62263712
Minimum0
Maximum40
Zeros92778
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:31.665421image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q327
95-th percentile38
Maximum40
Range40
Interquartile range (IQR)23

Descriptive statistics

Standard deviation12.61688274
Coefficient of variation (CV)0.8628322399
Kurtosis-1.060101299
Mean14.62263712
Median Absolute Deviation (MAD)9
Skewness0.5547653618
Sum12961023
Variance159.1857302
MonotonicityNot monotonic
2021-05-29T15:54:31.793927image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
092778
 
10.4%
162667
 
7.0%
555542
 
6.2%
645614
 
5.1%
239434
 
4.4%
830475
 
3.4%
1126710
 
3.0%
2926577
 
3.0%
726508
 
3.0%
1326085
 
2.9%
Other values (31)453977
50.9%
ValueCountFrequency (%)
092778
10.4%
162667
7.0%
239434
4.4%
319985
 
2.2%
417595
 
2.0%
ValueCountFrequency (%)
4015150
1.7%
3916182
1.8%
3813914
1.6%
3718525
2.1%
3610505
1.2%

LP_LEBENSPHASE_GROB
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.453621355
Minimum0
Maximum12
Zeros89718
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:31.898907image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.855639394
Coefficient of variation (CV)0.8657312974
Kurtosis-0.8136004432
Mean4.453621355
Median Absolute Deviation (MAD)2
Skewness0.7519252624
Sum3947543
Variance14.86595514
MonotonicityNot monotonic
2021-05-29T15:54:32.022825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2158139
17.7%
1139681
15.7%
3115624
13.0%
089718
10.1%
1274276
8.3%
454443
 
6.1%
549672
 
5.6%
948938
 
5.5%
1041092
 
4.6%
1132819
 
3.7%
Other values (3)81965
9.2%
ValueCountFrequency (%)
089718
10.1%
1139681
15.7%
2158139
17.7%
3115624
13.0%
454443
 
6.1%
ValueCountFrequency (%)
1274276
8.3%
1132819
3.7%
1041092
4.6%
948938
5.5%
830323
3.4%

LP_STATUS_FEIN
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.791150844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:32.136332image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.425305064
Coefficient of variation (CV)0.7149232357
Kurtosis-1.463356931
Mean4.791150844
Median Absolute Deviation (MAD)3
Skewness0.3702895041
Sum4246718
Variance11.73271478
MonotonicityNot monotonic
2021-05-29T15:54:32.239702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1219275
24.6%
9143238
16.1%
2118236
13.3%
10118022
13.2%
478317
 
8.8%
574493
 
8.4%
374105
 
8.3%
630914
 
3.5%
819708
 
2.2%
710059
 
1.1%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1219275
24.6%
2118236
13.3%
374105
 
8.3%
478317
 
8.8%
574493
 
8.4%
ValueCountFrequency (%)
10118022
13.2%
9143238
16.1%
819708
 
2.2%
710059
 
1.1%
630914
 
3.5%

LP_STATUS_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.432574769
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:32.344093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.474314564
Coefficient of variation (CV)0.6060716338
Kurtosis-1.198204821
Mean2.432574769
Median Absolute Deviation (MAD)1
Skewness0.5709267548
Sum2156154
Variance2.173603435
MonotonicityNot monotonic
2021-05-29T15:54:32.467095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1337511
37.9%
2226915
25.5%
4162946
18.3%
5118022
 
13.2%
340973
 
4.6%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1337511
37.9%
2226915
25.5%
340973
 
4.6%
4162946
18.3%
5118022
 
13.2%
ValueCountFrequency (%)
5118022
 
13.2%
4162946
18.3%
340973
 
4.6%
2226915
25.5%
1337511
37.9%

MIN_GEBAEUDEJAHR
Real number (ℝ≥0)

MISSING

Distinct32
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean1993.277011
Minimum1985
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:32.585658image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31993
95-th percentile2000
Maximum2016
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.332738997
Coefficient of variation (CV)0.001671989883
Kurtosis14.22772176
Mean1993.277011
Median Absolute Deviation (MAD)0
Skewness3.556034362
Sum1590780564
Variance11.10714922
MonotonicityNot monotonic
2021-05-29T15:54:32.714622image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1992568776
63.8%
199478835
 
8.8%
199325488
 
2.9%
199525464
 
2.9%
199616611
 
1.9%
199714464
 
1.6%
20007382
 
0.8%
20015877
 
0.7%
19915811
 
0.7%
20055553
 
0.6%
Other values (22)43812
 
4.9%
(Missing)93148
 
10.5%
ValueCountFrequency (%)
1985116
 
< 0.1%
1986125
 
< 0.1%
1987470
 
0.1%
19881027
0.1%
19892046
0.2%
ValueCountFrequency (%)
2016128
 
< 0.1%
2015717
 
0.1%
20141001
0.1%
20131230
0.1%
20121861
0.2%

MOBI_RASTER
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.37881873
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:32.819832image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.536927473
Coefficient of variation (CV)0.6460885202
Kurtosis-0.6950184903
Mean2.37881873
Median Absolute Deviation (MAD)1
Skewness0.7552069291
Sum1898471
Variance2.362146056
MonotonicityNot monotonic
2021-05-29T15:54:32.927778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1355579
39.9%
3124055
 
13.9%
2118231
 
13.3%
492804
 
10.4%
581375
 
9.1%
626029
 
2.9%
(Missing)93148
 
10.5%
ValueCountFrequency (%)
1355579
39.9%
2118231
 
13.3%
3124055
 
13.9%
492804
 
10.4%
581375
 
9.1%
ValueCountFrequency (%)
626029
 
2.9%
581375
9.1%
492804
10.4%
3124055
13.9%
2118231
13.3%

MOBI_REGIO
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.963539901
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:33.007533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.428882174
Coefficient of variation (CV)0.4821538506
Kurtosis-1.315601408
Mean2.963539901
Median Absolute Deviation (MAD)1
Skewness0.02630554031
Sum2246058
Variance2.041704268
MonotonicityNot monotonic
2021-05-29T15:54:33.102686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1163993
18.4%
3150336
16.9%
5148713
16.7%
4148209
16.6%
2146305
16.4%
6341
 
< 0.1%
(Missing)133324
15.0%
ValueCountFrequency (%)
1163993
18.4%
2146305
16.4%
3150336
16.9%
4148209
16.6%
5148713
16.7%
ValueCountFrequency (%)
6341
 
< 0.1%
5148713
16.7%
4148209
16.6%
3150336
16.9%
2146305
16.4%

NATIONALITAET_KZ
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.02682724
Minimum0
Maximum3
Zeros108315
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:33.187273image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5866336432
Coefficient of variation (CV)0.5713070516
Kurtosis3.494046863
Mean1.02682724
Median Absolute Deviation (MAD)0
Skewness1.109511314
Sum915130
Variance0.3441390313
MonotonicityNot monotonic
2021-05-29T15:54:33.277184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1684085
76.8%
0108315
 
12.2%
265418
 
7.3%
333403
 
3.7%
ValueCountFrequency (%)
0108315
 
12.2%
1684085
76.8%
265418
 
7.3%
333403
 
3.7%
ValueCountFrequency (%)
333403
 
3.7%
265418
 
7.3%
1684085
76.8%
0108315
 
12.2%

ONLINE_AFFINITAET
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.6986914
Minimum0
Maximum5
Zeros65716
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:33.362159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.52152361
Coefficient of variation (CV)0.5638005184
Kurtosis-1.066834259
Mean2.6986914
Median Absolute Deviation (MAD)1
Skewness-0.02418530245
Sum2392031
Variance2.315034097
MonotonicityNot monotonic
2021-05-29T15:54:33.459412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2197850
22.2%
4164704
18.5%
3163487
18.3%
1156499
17.6%
5138111
15.5%
065716
 
7.4%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
065716
 
7.4%
1156499
17.6%
2197850
22.2%
3163487
18.3%
4164704
18.5%
ValueCountFrequency (%)
5138111
15.5%
4164704
18.5%
3163487
18.3%
2197850
22.2%
1156499
17.6%

ORTSGR_KLS9
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean5.293001933
Minimum0
Maximum9
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:33.550369image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.303738703
Coefficient of variation (CV)0.4352423694
Kurtosis-0.9404036909
Mean5.293001933
Median Absolute Deviation (MAD)2
Skewness-0.008312889998
Sum4202670
Variance5.307212011
MonotonicityNot monotonic
2021-05-29T15:54:33.643386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5148096
16.6%
4114909
12.9%
7102866
11.5%
991879
10.3%
383542
9.4%
675995
8.5%
872709
8.2%
263362
7.1%
140589
 
4.6%
058
 
< 0.1%
(Missing)97216
10.9%
ValueCountFrequency (%)
058
 
< 0.1%
140589
 
4.6%
263362
7.1%
383542
9.4%
4114909
12.9%
ValueCountFrequency (%)
991879
10.3%
872709
8.2%
7102866
11.5%
675995
8.5%
5148096
16.6%

OST_WEST_KZ
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Memory size6.8 MiB
W
629528 
O
168545 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowW
3rd rowW
4th rowW
5th rowW

Common Values

ValueCountFrequency (%)
W629528
70.6%
O168545
 
18.9%
(Missing)93148
 
10.5%

PLZ8_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.25332965
Minimum0
Maximum4
Zeros5470
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:33.821993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9720077339
Coefficient of variation (CV)0.431365084
Kurtosis-0.8476824134
Mean2.25332965
Median Absolute Deviation (MAD)1
Skewness0.1642256914
Sum1745668
Variance0.9447990347
MonotonicityNot monotonic
2021-05-29T15:54:33.928413image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2270590
30.4%
3222355
24.9%
1189247
21.2%
487044
 
9.8%
05470
 
0.6%
(Missing)116515
13.1%
ValueCountFrequency (%)
05470
 
0.6%
1189247
21.2%
2270590
30.4%
3222355
24.9%
487044
 
9.8%
ValueCountFrequency (%)
487044
 
9.8%
3222355
24.9%
2270590
30.4%
1189247
21.2%
05470
 
0.6%

PLZ8_ANTG2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.801857737
Minimum0
Maximum4
Zeros7438
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:34.029717image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9203089398
Coefficient of variation (CV)0.3284638358
Kurtosis-0.2961844436
Mean2.801857737
Median Absolute Deviation (MAD)1
Skewness-0.4226673799
Sum2170616
Variance0.8469685446
MonotonicityNot monotonic
2021-05-29T15:54:34.137892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3307283
34.5%
2215767
24.2%
4191005
21.4%
153213
 
6.0%
07438
 
0.8%
(Missing)116515
 
13.1%
ValueCountFrequency (%)
07438
 
0.8%
153213
 
6.0%
2215767
24.2%
3307283
34.5%
4191005
21.4%
ValueCountFrequency (%)
4191005
21.4%
3307283
34.5%
2215767
24.2%
153213
 
6.0%
07438
 
0.8%

PLZ8_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.595425878
Minimum0
Maximum3
Zeros119794
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:34.237795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9867360188
Coefficient of variation (CV)0.6184781334
Kurtosis-1.023897305
Mean1.595425878
Median Absolute Deviation (MAD)1
Skewness-0.08785605194
Sum1235986
Variance0.9736479707
MonotonicityNot monotonic
2021-05-29T15:54:34.337605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2252994
28.4%
1237878
26.7%
3164040
18.4%
0119794
13.4%
(Missing)116515
13.1%
ValueCountFrequency (%)
0119794
13.4%
1237878
26.7%
2252994
28.4%
3164040
18.4%
ValueCountFrequency (%)
3164040
18.4%
2252994
28.4%
1237878
26.7%
0119794
13.4%

PLZ8_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.6991658771
Minimum0
Maximum2
Zeros356389
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:34.434926image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7271368294
Coefficient of variation (CV)1.040006175
Kurtosis-0.9649685644
Mean0.6991658771
Median Absolute Deviation (MAD)1
Skewness0.5294995983
Sum541648
Variance0.5287279687
MonotonicityNot monotonic
2021-05-29T15:54:34.544130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0356389
40.0%
1294986
33.1%
2123331
 
13.8%
(Missing)116515
 
13.1%
ValueCountFrequency (%)
0356389
40.0%
1294986
33.1%
2123331
 
13.8%
ValueCountFrequency (%)
2123331
 
13.8%
1294986
33.1%
0356389
40.0%

PLZ8_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.943912917
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:34.647651image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45965373
Coefficient of variation (CV)0.7508843207
Kurtosis-0.166937038
Mean1.943912917
Median Absolute Deviation (MAD)0
Skewness1.208048397
Sum1505961
Variance2.130589011
MonotonicityNot monotonic
2021-05-29T15:54:34.754887image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1499550
56.1%
597333
 
10.9%
270407
 
7.9%
456684
 
6.4%
350732
 
5.7%
(Missing)116515
 
13.1%
ValueCountFrequency (%)
1499550
56.1%
270407
 
7.9%
350732
 
5.7%
456684
 
6.4%
597333
 
10.9%
ValueCountFrequency (%)
597333
 
10.9%
456684
 
6.4%
350732
 
5.7%
270407
 
7.9%
1499550
56.1%

PLZ8_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.381086502
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:34.856565image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.111597716
Coefficient of variation (CV)0.3287693808
Kurtosis-0.632323212
Mean3.381086502
Median Absolute Deviation (MAD)1
Skewness-0.152570169
Sum2619348
Variance1.235649482
MonotonicityNot monotonic
2021-05-29T15:54:34.964788image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3288383
32.4%
4180252
20.2%
5153883
17.3%
2111588
 
12.5%
140600
 
4.6%
(Missing)116515
13.1%
ValueCountFrequency (%)
140600
 
4.6%
2111588
 
12.5%
3288383
32.4%
4180252
20.2%
5153883
17.3%
ValueCountFrequency (%)
5153883
17.3%
4180252
20.2%
3288383
32.4%
2111588
 
12.5%
140600
 
4.6%

PLZ8_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.612820864
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:35.056077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9739665877
Coefficient of variation (CV)0.2695861833
Kurtosis-0.6158403515
Mean3.612820864
Median Absolute Deviation (MAD)1
Skewness-0.0913780638
Sum2798874
Variance0.9486109139
MonotonicityNot monotonic
2021-05-29T15:54:35.148475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3309146
34.7%
4211911
23.8%
5175813
19.7%
266891
 
7.5%
110945
 
1.2%
(Missing)116515
 
13.1%
ValueCountFrequency (%)
110945
 
1.2%
266891
 
7.5%
3309146
34.7%
4211911
23.8%
5175813
19.7%
ValueCountFrequency (%)
5175813
19.7%
4211911
23.8%
3309146
34.7%
266891
 
7.5%
110945
 
1.2%

PRAEGENDE_JUGENDJAHRE
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.154345555
Minimum0
Maximum15
Zeros108164
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:35.242235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median8
Q314
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.844532197
Coefficient of variation (CV)0.5941043538
Kurtosis-1.11662633
Mean8.154345555
Median Absolute Deviation (MAD)4
Skewness-0.2507805175
Sum7267324
Variance23.4694922
MonotonicityNot monotonic
2021-05-29T15:54:35.344393image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
14188697
21.2%
8145988
16.4%
0108164
12.1%
586416
9.7%
1085808
9.6%
355195
 
6.2%
1542547
 
4.8%
1135752
 
4.0%
933570
 
3.8%
625652
 
2.9%
Other values (6)83432
9.4%
ValueCountFrequency (%)
0108164
12.1%
121282
 
2.4%
27479
 
0.8%
355195
6.2%
420451
 
2.3%
ValueCountFrequency (%)
1542547
 
4.8%
14188697
21.2%
135764
 
0.6%
1224446
 
2.7%
1135752
 
4.0%

REGIOTYP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing121196
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean4.257966949
Minimum0
Maximum7
Zeros36868
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:35.448332image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.030384535
Coefficient of variation (CV)0.4768436579
Kurtosis-0.8986656455
Mean4.257966949
Median Absolute Deviation (MAD)1
Skewness-0.4906113801
Sum3278741
Variance4.122461361
MonotonicityNot monotonic
2021-05-29T15:54:35.546356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6195286
21.9%
5145359
16.3%
393929
10.5%
291662
10.3%
783943
9.4%
468180
 
7.7%
154798
 
6.1%
036868
 
4.1%
(Missing)121196
13.6%
ValueCountFrequency (%)
036868
 
4.1%
154798
6.1%
291662
10.3%
393929
10.5%
468180
7.7%
ValueCountFrequency (%)
783943
9.4%
6195286
21.9%
5145359
16.3%
468180
 
7.7%
393929
10.5%

RELAT_AB
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.072219948
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:35.635202image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.362980445
Coefficient of variation (CV)0.4436467662
Kurtosis-1.00801365
Mean3.072219948
Median Absolute Deviation (MAD)1
Skewness-0.01830679369
Sum2439358
Variance1.857715694
MonotonicityNot monotonic
2021-05-29T15:54:35.728539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3274008
30.7%
5174964
19.6%
1142907
16.0%
2104846
 
11.8%
497121
 
10.9%
9159
 
< 0.1%
(Missing)97216
 
10.9%
ValueCountFrequency (%)
1142907
16.0%
2104846
 
11.8%
3274008
30.7%
497121
 
10.9%
5174964
19.6%
ValueCountFrequency (%)
9159
 
< 0.1%
5174964
19.6%
497121
 
10.9%
3274008
30.7%
2104846
 
11.8%

RETOURTYP_BK_S
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.419629792
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:35.817889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.417740994
Coefficient of variation (CV)0.4145890288
Kurtosis-1.124586498
Mean3.419629792
Median Absolute Deviation (MAD)1
Skewness-0.3668840075
Sum3031047
Variance2.009989527
MonotonicityNot monotonic
2021-05-29T15:54:35.913991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5297993
33.4%
3231816
26.0%
4131115
14.7%
1129712
14.6%
295731
 
10.7%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1129712
14.6%
295731
 
10.7%
3231816
26.0%
4131115
14.7%
5297993
33.4%
ValueCountFrequency (%)
5297993
33.4%
4131115
14.7%
3231816
26.0%
295731
 
10.7%
1129712
14.6%

RT_KEIN_ANREIZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.2337226
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:36.004755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.388687477
Coefficient of variation (CV)0.4294392713
Kurtosis-1.189059246
Mean3.2337226
Median Absolute Deviation (MAD)1
Skewness-0.2444729811
Sum2866265
Variance1.928452909
MonotonicityNot monotonic
2021-05-29T15:54:36.113322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5211534
23.7%
4206707
23.2%
3186655
20.9%
1141140
15.8%
2140331
15.7%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
1141140
15.8%
2140331
15.7%
3186655
20.9%
4206707
23.2%
5211534
23.7%
ValueCountFrequency (%)
5211534
23.7%
4206707
23.2%
3186655
20.9%
2140331
15.7%
1141140
15.8%

RT_SCHNAEPPCHEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.863796825
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:36.217652image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.282747344
Coefficient of variation (CV)0.3319914071
Kurtosis-0.6207191317
Mean3.863796825
Median Absolute Deviation (MAD)1
Skewness-0.7959123194
Sum3424742
Variance1.64544075
MonotonicityNot monotonic
2021-05-29T15:54:36.330191image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5402504
45.2%
4182059
20.4%
3133538
 
15.0%
2115106
 
12.9%
153160
 
6.0%
(Missing)4854
 
0.5%
ValueCountFrequency (%)
153160
 
6.0%
2115106
 
12.9%
3133538
 
15.0%
4182059
20.4%
5402504
45.2%
ValueCountFrequency (%)
5402504
45.2%
4182059
20.4%
3133538
 
15.0%
2115106
 
12.9%
153160
 
6.0%

RT_UEBERGROESSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51226
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean3.023813237
Minimum0
Maximum5
Zeros24758
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:36.429873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.502725386
Coefficient of variation (CV)0.4969636907
Kurtosis-1.18388437
Mean3.023813237
Median Absolute Deviation (MAD)1
Skewness-0.1665382214
Sum2539988
Variance2.258183587
MonotonicityNot monotonic
2021-05-29T15:54:36.538747image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5188774
21.2%
4168467
18.9%
3155865
17.5%
2152524
17.1%
1149607
16.8%
024758
 
2.8%
(Missing)51226
 
5.7%
ValueCountFrequency (%)
024758
 
2.8%
1149607
16.8%
2152524
17.1%
3155865
17.5%
4168467
18.9%
ValueCountFrequency (%)
5188774
21.2%
4168467
18.9%
3155865
17.5%
2152524
17.1%
1149607
16.8%

SEMIO_DOM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.667550473
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:36.634170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.79571208
Coefficient of variation (CV)0.3847225843
Kurtosis-0.9093931002
Mean4.667550473
Median Absolute Deviation (MAD)1
Skewness-0.4131770759
Sum4159819
Variance3.224581876
MonotonicityNot monotonic
2021-05-29T15:54:36.738812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6183435
20.6%
5177889
20.0%
7161495
18.1%
4125115
14.0%
2101498
11.4%
397027
10.9%
144762
 
5.0%
ValueCountFrequency (%)
144762
 
5.0%
2101498
11.4%
397027
10.9%
4125115
14.0%
5177889
20.0%
ValueCountFrequency (%)
7161495
18.1%
6183435
20.6%
5177889
20.0%
4125115
14.0%
397027
10.9%

SEMIO_ERL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.481404725
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:36.836167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.807551899
Coefficient of variation (CV)0.4033449354
Kurtosis-1.105118991
Mean4.481404725
Median Absolute Deviation (MAD)1
Skewness-0.04328868758
Sum3993922
Variance3.267243868
MonotonicityNot monotonic
2021-05-29T15:54:36.942278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4196206
22.0%
3180824
20.3%
7179141
20.1%
6139209
15.6%
277012
 
8.6%
576133
 
8.5%
142696
 
4.8%
ValueCountFrequency (%)
142696
 
4.8%
277012
 
8.6%
3180824
20.3%
4196206
22.0%
576133
 
8.5%
ValueCountFrequency (%)
7179141
20.1%
6139209
15.6%
576133
 
8.5%
4196206
22.0%
3180824
20.3%

SEMIO_FAM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.272729211
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:37.054937image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.915885028
Coefficient of variation (CV)0.4483984202
Kurtosis-1.19892824
Mean4.272729211
Median Absolute Deviation (MAD)2
Skewness-0.2058485462
Sum3807946
Variance3.67061544
MonotonicityNot monotonic
2021-05-29T15:54:37.143768image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6186729
21.0%
2139562
15.7%
4135942
15.3%
5133740
15.0%
7118517
13.3%
394815
10.6%
181916
9.2%
ValueCountFrequency (%)
181916
9.2%
2139562
15.7%
394815
10.6%
4135942
15.3%
5133740
15.0%
ValueCountFrequency (%)
7118517
13.3%
6186729
21.0%
5133740
15.0%
4135942
15.3%
394815
10.6%

SEMIO_KAEM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.445007467
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:37.227391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.852412242
Coefficient of variation (CV)0.4167399618
Kurtosis-1.236079929
Mean4.445007467
Median Absolute Deviation (MAD)2
Skewness-0.1927373604
Sum3961484
Variance3.431431115
MonotonicityNot monotonic
2021-05-29T15:54:37.319919image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6206001
23.1%
3180955
20.3%
7135579
15.2%
5128501
14.4%
2114038
12.8%
478944
 
8.9%
147203
 
5.3%
ValueCountFrequency (%)
147203
 
5.3%
2114038
12.8%
3180955
20.3%
478944
8.9%
5128501
14.4%
ValueCountFrequency (%)
7135579
15.2%
6206001
23.1%
5128501
14.4%
478944
 
8.9%
3180955
20.3%

SEMIO_KRIT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.76322259
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:37.406291image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.830789358
Coefficient of variation (CV)0.3843593961
Kurtosis-0.8752505716
Mean4.76322259
Median Absolute Deviation (MAD)2
Skewness-0.3882238006
Sum4245084
Variance3.351789675
MonotonicityNot monotonic
2021-05-29T15:54:37.493443image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7219847
24.7%
5156298
17.5%
4144079
16.2%
6133049
14.9%
3129106
14.5%
154947
 
6.2%
253895
 
6.0%
ValueCountFrequency (%)
154947
 
6.2%
253895
 
6.0%
3129106
14.5%
4144079
16.2%
5156298
17.5%
ValueCountFrequency (%)
7219847
24.7%
6133049
14.9%
5156298
17.5%
4144079
16.2%
3129106
14.5%

SEMIO_KULT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.025013998
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:37.576249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.90381623
Coefficient of variation (CV)0.4729961763
Kurtosis-1.05018586
Mean4.025013998
Median Absolute Deviation (MAD)1
Skewness-0.03536077331
Sum3587177
Variance3.624516239
MonotonicityNot monotonic
2021-05-29T15:54:37.669955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3209067
23.5%
5176282
19.8%
1128216
14.4%
7117378
13.2%
4101502
11.4%
6101286
11.4%
257490
 
6.5%
ValueCountFrequency (%)
1128216
14.4%
257490
 
6.5%
3209067
23.5%
4101502
11.4%
5176282
19.8%
ValueCountFrequency (%)
7117378
13.2%
6101286
11.4%
5176282
19.8%
4101502
11.4%
3209067
23.5%

SEMIO_LUST
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.359086018
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:37.756026image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.022829383
Coefficient of variation (CV)0.4640489714
Kurtosis-1.207111475
Mean4.359086018
Median Absolute Deviation (MAD)2
Skewness-0.3030834485
Sum3884909
Variance4.091838712
MonotonicityNot monotonic
2021-05-29T15:54:37.849866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5170040
19.1%
6158624
17.8%
7158234
17.8%
2114373
12.8%
1110382
12.4%
497495
10.9%
382073
9.2%
ValueCountFrequency (%)
1110382
12.4%
2114373
12.8%
382073
9.2%
497495
10.9%
5170040
19.1%
ValueCountFrequency (%)
7158234
17.8%
6158624
17.8%
5170040
19.1%
497495
10.9%
382073
9.2%

SEMIO_MAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.001596686
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:37.936161image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.857540107
Coefficient of variation (CV)0.4641997315
Kurtosis-1.036445759
Mean4.001596686
Median Absolute Deviation (MAD)1
Skewness0.01186754272
Sum3566307
Variance3.45045525
MonotonicityNot monotonic
2021-05-29T15:54:38.029930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5171267
19.2%
4162862
18.3%
2134549
15.1%
3123701
13.9%
7111976
12.6%
197341
10.9%
689525
10.0%
ValueCountFrequency (%)
197341
10.9%
2134549
15.1%
3123701
13.9%
4162862
18.3%
5171267
19.2%
ValueCountFrequency (%)
7111976
12.6%
689525
10.0%
5171267
19.2%
4162862
18.3%
3123701
13.9%

SEMIO_PFLICHT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.256075654
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:38.116855image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.770136694
Coefficient of variation (CV)0.4159081836
Kurtosis-0.8653655223
Mean4.256075654
Median Absolute Deviation (MAD)1
Skewness-0.1694070752
Sum3793104
Variance3.133383917
MonotonicityNot monotonic
2021-05-29T15:54:38.210084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5203845
22.9%
4162117
18.2%
3133990
15.0%
7115458
13.0%
6109442
12.3%
292214
10.3%
174155
 
8.3%
ValueCountFrequency (%)
174155
 
8.3%
292214
10.3%
3133990
15.0%
4162117
18.2%
5203845
22.9%
ValueCountFrequency (%)
7115458
13.0%
6109442
12.3%
5203845
22.9%
4162117
18.2%
3133990
15.0%

SEMIO_RAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.910139012
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:38.296826image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.580305974
Coefficient of variation (CV)0.404155957
Kurtosis-0.3831343065
Mean3.910139012
Median Absolute Deviation (MAD)1
Skewness0.2879717072
Sum3484798
Variance2.497366972
MonotonicityNot monotonic
2021-05-29T15:54:38.389461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4334456
37.5%
2140433
15.8%
3131994
 
14.8%
589056
 
10.0%
787024
 
9.8%
661484
 
6.9%
146774
 
5.2%
ValueCountFrequency (%)
146774
 
5.2%
2140433
15.8%
3131994
 
14.8%
4334456
37.5%
589056
 
10.0%
ValueCountFrequency (%)
787024
 
9.8%
661484
 
6.9%
589056
 
10.0%
4334456
37.5%
3131994
 
14.8%

SEMIO_REL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.240609232
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:39.523221image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.007372556
Coefficient of variation (CV)0.4733689067
Kurtosis-1.134701252
Mean4.240609232
Median Absolute Deviation (MAD)2
Skewness0.00215072809
Sum3779320
Variance4.029544578
MonotonicityNot monotonic
2021-05-29T15:54:39.616113image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7211377
23.7%
4207128
23.2%
3150801
16.9%
1108130
12.1%
579566
 
8.9%
273127
 
8.2%
661092
 
6.9%
ValueCountFrequency (%)
1108130
12.1%
273127
 
8.2%
3150801
16.9%
4207128
23.2%
579566
 
8.9%
ValueCountFrequency (%)
7211377
23.7%
661092
 
6.9%
579566
 
8.9%
4207128
23.2%
3150801
16.9%

SEMIO_SOZ
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.945859669
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:39.698426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.946564233
Coefficient of variation (CV)0.4933181603
Kurtosis-1.353534476
Mean3.945859669
Median Absolute Deviation (MAD)2
Skewness0.1789455842
Sum3516633
Variance3.789112312
MonotonicityNot monotonic
2021-05-29T15:54:39.783567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2244714
27.5%
6136205
15.3%
5121786
13.7%
3118889
13.3%
7117378
13.2%
490161
 
10.1%
162088
 
7.0%
ValueCountFrequency (%)
162088
 
7.0%
2244714
27.5%
3118889
13.3%
490161
 
10.1%
5121786
13.7%
ValueCountFrequency (%)
7117378
13.2%
6136205
15.3%
5121786
13.7%
490161
10.1%
3118889
13.3%

SEMIO_TRADV
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.661784226
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:39.865995image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.707636767
Coefficient of variation (CV)0.4663400849
Kurtosis-0.655924441
Mean3.661784226
Median Absolute Deviation (MAD)1
Skewness0.3343106362
Sum3263459
Variance2.916023328
MonotonicityNot monotonic
2021-05-29T15:54:39.952469image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3226571
25.4%
4174203
19.5%
2132657
14.9%
5117378
13.2%
196775
10.9%
776133
 
8.5%
667504
 
7.6%
ValueCountFrequency (%)
196775
10.9%
2132657
14.9%
3226571
25.4%
4174203
19.5%
5117378
13.2%
ValueCountFrequency (%)
776133
 
8.5%
667504
 
7.6%
5117378
13.2%
4174203
19.5%
3226571
25.4%

SEMIO_VERT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.023709046
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:40.047488image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.077746254
Coefficient of variation (CV)0.5163758687
Kurtosis-1.411240267
Mean4.023709046
Median Absolute Deviation (MAD)2
Skewness-0.03560142861
Sum3586014
Variance4.317029496
MonotonicityNot monotonic
2021-05-29T15:54:40.141077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2204333
22.9%
6141714
15.9%
5135205
15.2%
7134756
15.1%
4122982
13.8%
1120437
13.5%
331794
 
3.6%
ValueCountFrequency (%)
1120437
13.5%
2204333
22.9%
331794
 
3.6%
4122982
13.8%
5135205
15.2%
ValueCountFrequency (%)
7134756
15.1%
6141714
15.9%
5135205
15.2%
4122982
13.8%
331794
 
3.6%

SHOPPER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.266967453
Minimum-1
Maximum3
Zeros127582
Zeros (%)14.3%
Negative111196
Negative (%)12.5%
Memory size6.8 MiB
2021-05-29T15:54:40.230030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median1
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.287434562
Coefficient of variation (CV)1.016154409
Kurtosis-0.9404777641
Mean1.266967453
Median Absolute Deviation (MAD)1
Skewness-0.2565887319
Sum1129148
Variance1.657487753
MonotonicityNot monotonic
2021-05-29T15:54:40.323223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1254761
28.6%
2207463
23.3%
3190219
21.3%
0127582
14.3%
-1111196
12.5%
ValueCountFrequency (%)
-1111196
12.5%
0127582
14.3%
1254761
28.6%
2207463
23.3%
3190219
21.3%
ValueCountFrequency (%)
3190219
21.3%
2207463
23.3%
1254761
28.6%
0127582
14.3%
-1111196
12.5%

SOHO_KZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.008423400618
Minimum0
Maximum1
Zeros810834
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:40.410866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09139177837
Coefficient of variation (CV)10.84974852
Kurtosis113.7260966
Mean0.008423400618
Median Absolute Deviation (MAD)0
Skewness10.75759353
Sum6888
Variance0.008352457154
MonotonicityNot monotonic
2021-05-29T15:54:40.503015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0810834
91.0%
16888
 
0.8%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
0810834
91.0%
16888
 
0.8%
ValueCountFrequency (%)
16888
 
0.8%
0810834
91.0%

STRUKTURTYP
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean2.539212315
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:40.589723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7549256789
Coefficient of variation (CV)0.2973070327
Kurtosis-0.08902972426
Mean2.539212315
Median Absolute Deviation (MAD)0
Skewness-1.253891367
Sum2016000
Variance0.5699127807
MonotonicityNot monotonic
2021-05-29T15:54:40.682312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3555713
62.4%
1127607
 
14.3%
2110627
 
12.4%
(Missing)97274
 
10.9%
ValueCountFrequency (%)
1127607
 
14.3%
2110627
 
12.4%
3555713
62.4%
ValueCountFrequency (%)
3555713
62.4%
2110627
 
12.4%
1127607
 
14.3%

TITEL_KZ
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.003482846248
Minimum0
Maximum5
Zeros815562
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:40.776732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08495716307
Coefficient of variation (CV)24.39302714
Kurtosis1998.880458
Mean0.003482846248
Median Absolute Deviation (MAD)0
Skewness39.64777145
Sum2848
Variance0.007217719557
MonotonicityNot monotonic
2021-05-29T15:54:40.887081image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0815562
91.5%
11947
 
0.2%
5104
 
< 0.1%
457
 
< 0.1%
349
 
< 0.1%
23
 
< 0.1%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
0815562
91.5%
11947
 
0.2%
23
 
< 0.1%
349
 
< 0.1%
457
 
< 0.1%
ValueCountFrequency (%)
5104
 
< 0.1%
457
 
< 0.1%
349
 
< 0.1%
23
 
< 0.1%
11947
0.2%

UMFELD_ALT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing97786
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean3.223124768
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:40.987381image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255784944
Coefficient of variation (CV)0.3896172302
Kurtosis-0.8971821
Mean3.223124768
Median Absolute Deviation (MAD)1
Skewness-0.2924290274
Sum2557340
Variance1.576995827
MonotonicityNot monotonic
2021-05-29T15:54:41.091726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4228222
25.6%
3208733
23.4%
5135160
15.2%
2121133
13.6%
1100187
11.2%
(Missing)97786
11.0%
ValueCountFrequency (%)
1100187
11.2%
2121133
13.6%
3208733
23.4%
4228222
25.6%
5135160
15.2%
ValueCountFrequency (%)
5135160
15.2%
4228222
25.6%
3208733
23.4%
2121133
13.6%
1100187
11.2%

UMFELD_JUNG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing97786
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean4.017526325
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:41.192883image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.118399045
Coefficient of variation (CV)0.2783800166
Kurtosis0.300030341
Mean4.017526325
Median Absolute Deviation (MAD)1
Skewness-1.03921135
Sum3187646
Variance1.250816424
MonotonicityNot monotonic
2021-05-29T15:54:41.303835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5350532
39.3%
4225939
25.4%
3130403
 
14.6%
253460
 
6.0%
133101
 
3.7%
(Missing)97786
 
11.0%
ValueCountFrequency (%)
133101
 
3.7%
253460
 
6.0%
3130403
 
14.6%
4225939
25.4%
5350532
39.3%
ValueCountFrequency (%)
5350532
39.3%
4225939
25.4%
3130403
 
14.6%
253460
 
6.0%
133101
 
3.7%

UNGLEICHENN_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.09006728448
Minimum0
Maximum1
Zeros744072
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:41.405654image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2862783068
Coefficient of variation (CV)3.178493817
Kurtosis6.201838206
Mean0.09006728448
Median Absolute Deviation (MAD)0
Skewness2.863882511
Sum73650
Variance0.08195526897
MonotonicityNot monotonic
2021-05-29T15:54:41.508632image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0744072
83.5%
173650
 
8.3%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
0744072
83.5%
173650
 
8.3%
ValueCountFrequency (%)
173650
 
8.3%
0744072
83.5%

VERDICHTUNGSRAUM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean4.585759503
Minimum0
Maximum45
Zeros368782
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:41.649762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.471520441
Coefficient of variation (CV)1.847353843
Kurtosis6.350593906
Mean4.585759503
Median Absolute Deviation (MAD)1
Skewness2.532641726
Sum3640850
Variance71.76665858
MonotonicityNot monotonic
2021-05-29T15:54:41.782218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0368782
41.4%
1111235
 
12.5%
247613
 
5.3%
329827
 
3.3%
426996
 
3.0%
524019
 
2.7%
621882
 
2.5%
713238
 
1.5%
811864
 
1.3%
1011034
 
1.2%
Other values (36)127457
 
14.3%
(Missing)97274
 
10.9%
ValueCountFrequency (%)
0368782
41.4%
1111235
 
12.5%
247613
 
5.3%
329827
 
3.3%
426996
 
3.0%
ValueCountFrequency (%)
451165
0.1%
441435
0.2%
431321
0.1%
421324
0.1%
411329
0.1%

VERS_TYP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.19785216
Minimum-1
Maximum2
Zeros0
Zeros (%)0.0%
Negative111196
Negative (%)12.5%
Memory size6.8 MiB
2021-05-29T15:54:41.872487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q11
median1
Q32
95-th percentile2
Maximum2
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.952531696
Coefficient of variation (CV)0.7951997147
Kurtosis0.7623678951
Mean1.19785216
Median Absolute Deviation (MAD)1
Skewness-1.269367975
Sum1067551
Variance0.9073166318
MonotonicityNot monotonic
2021-05-29T15:54:41.961257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2398722
44.7%
1381303
42.8%
-1111196
 
12.5%
ValueCountFrequency (%)
-1111196
 
12.5%
1381303
42.8%
2398722
44.7%
ValueCountFrequency (%)
2398722
44.7%
1381303
42.8%
-1111196
 
12.5%

VHA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.4388202837
Minimum0
Maximum5
Zeros665547
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:42.045168image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.143290454
Coefficient of variation (CV)2.605372853
Kurtosis7.390683117
Mean0.4388202837
Median Absolute Deviation (MAD)0
Skewness2.889777008
Sum358833
Variance1.307113063
MonotonicityNot monotonic
2021-05-29T15:54:42.138716image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0665547
74.7%
181016
 
9.1%
424469
 
2.7%
522372
 
2.5%
319445
 
2.2%
24873
 
0.5%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
0665547
74.7%
181016
 
9.1%
24873
 
0.5%
319445
 
2.2%
424469
 
2.7%
ValueCountFrequency (%)
522372
 
2.5%
424469
 
2.7%
319445
 
2.2%
24873
 
0.5%
181016
9.1%

VHN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing121196
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.417321516
Minimum0
Maximum4
Zeros36868
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:42.224697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.166572237
Coefficient of variation (CV)0.4825887784
Kurtosis-0.9129215946
Mean2.417321516
Median Absolute Deviation (MAD)1
Skewness-0.1613978673
Sum1861398
Variance1.360890785
MonotonicityNot monotonic
2021-05-29T15:54:42.316475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2233844
26.2%
3179579
20.1%
4178413
20.0%
1141321
15.9%
036868
 
4.1%
(Missing)121196
13.6%
ValueCountFrequency (%)
036868
 
4.1%
1141321
15.9%
2233844
26.2%
3179579
20.1%
4178413
20.0%
ValueCountFrequency (%)
4178413
20.0%
3179579
20.1%
2233844
26.2%
1141321
15.9%
036868
 
4.1%

VK_DHT4A
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean6.001214271
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:42.407328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.856091359
Coefficient of variation (CV)0.4759189108
Kurtosis-1.205256256
Mean6.001214271
Median Absolute Deviation (MAD)3
Skewness-0.158692708
Sum4892814
Variance8.157257851
MonotonicityNot monotonic
2021-05-29T15:54:42.500798image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10114500
12.8%
796693
10.8%
988238
9.9%
886090
9.7%
382570
9.3%
680078
9.0%
274200
8.3%
570671
7.9%
470198
7.9%
149535
5.6%
(Missing)75917
8.5%
ValueCountFrequency (%)
149535
5.6%
274200
8.3%
382570
9.3%
470198
7.9%
570671
7.9%
ValueCountFrequency (%)
112531
 
0.3%
10114500
12.8%
988238
9.9%
886090
9.7%
796693
10.8%

VK_DISTANZ
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean7.532130346
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:42.585762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile12
Maximum13
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.247788909
Coefficient of variation (CV)0.4311912778
Kurtosis-0.7823473088
Mean7.532130346
Median Absolute Deviation (MAD)2
Skewness-0.3536317455
Sum6140976
Variance10.5481328
MonotonicityNot monotonic
2021-05-29T15:54:42.682415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1094320
10.6%
892104
10.3%
989067
10.0%
784222
9.5%
683291
9.3%
1179990
9.0%
371410
8.0%
1259994
6.7%
144858
5.0%
538791
4.4%
Other values (3)77257
8.7%
(Missing)75917
8.5%
ValueCountFrequency (%)
144858
5.0%
219917
 
2.2%
371410
8.0%
429786
3.3%
538791
4.4%
ValueCountFrequency (%)
1327554
 
3.1%
1259994
6.7%
1179990
9.0%
1094320
10.6%
989067
10.0%

VK_ZG11
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean5.9459723
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:42.770849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.771463653
Coefficient of variation (CV)0.4661077304
Kurtosis-1.071798028
Mean5.9459723
Median Absolute Deviation (MAD)2
Skewness-0.09933345399
Sum4847775
Variance7.681010782
MonotonicityNot monotonic
2021-05-29T15:54:42.874712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1097938
11.0%
597777
11.0%
688581
9.9%
788552
9.9%
486600
9.7%
883994
9.4%
982134
9.2%
369634
7.8%
259916
6.7%
152009
5.8%
(Missing)75917
8.5%
ValueCountFrequency (%)
152009
5.8%
259916
6.7%
369634
7.8%
486600
9.7%
597777
11.0%
ValueCountFrequency (%)
118169
 
0.9%
1097938
11.0%
982134
9.2%
883994
9.4%
788552
9.9%

W_KEIT_KIND_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing107602
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean3.933406413
Minimum0
Maximum6
Zeros40386
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:42.970422image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.964701066
Coefficient of variation (CV)0.4994909908
Kurtosis-1.086501848
Mean3.933406413
Median Absolute Deviation (MAD)2
Skewness-0.4529771657
Sum3082292
Variance3.86005028
MonotonicityNot monotonic
2021-05-29T15:54:43.078221image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6281966
31.6%
4128675
14.4%
3100170
 
11.2%
284000
 
9.4%
183706
 
9.4%
564716
 
7.3%
040386
 
4.5%
(Missing)107602
 
12.1%
ValueCountFrequency (%)
040386
 
4.5%
183706
9.4%
284000
9.4%
3100170
11.2%
4128675
14.4%
ValueCountFrequency (%)
6281966
31.6%
564716
 
7.3%
4128675
14.4%
3100170
 
11.2%
284000
 
9.4%

WOHNDAUER_2008
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean7.908790518
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:43.187050image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.92313705
Coefficient of variation (CV)0.2431644947
Kurtosis1.194461486
Mean7.908790518
Median Absolute Deviation (MAD)0
Skewness-1.620093885
Sum6467192
Variance3.698456114
MonotonicityNot monotonic
2021-05-29T15:54:43.296582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9551176
61.8%
880118
 
9.0%
450736
 
5.7%
338767
 
4.3%
635170
 
3.9%
530959
 
3.5%
723939
 
2.7%
26174
 
0.7%
1683
 
0.1%
(Missing)73499
 
8.2%
ValueCountFrequency (%)
1683
 
0.1%
26174
 
0.7%
338767
4.3%
450736
5.7%
530959
3.5%
ValueCountFrequency (%)
9551176
61.8%
880118
 
9.0%
723939
 
2.7%
635170
 
3.9%
530959
 
3.5%

WOHNLAGE
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.052836019
Minimum0
Maximum8
Zeros6950
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:43.402334image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q35
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.949538668
Coefficient of variation (CV)0.4810307299
Kurtosis-0.8440882651
Mean4.052836019
Median Absolute Deviation (MAD)1
Skewness0.4396769473
Sum3234459
Variance3.800701019
MonotonicityNot monotonic
2021-05-29T15:54:43.497267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3249719
28.0%
7169318
19.0%
4135973
15.3%
2100376
11.3%
574346
 
8.3%
143918
 
4.9%
817473
 
2.0%
06950
 
0.8%
(Missing)93148
 
10.5%
ValueCountFrequency (%)
06950
 
0.8%
143918
 
4.9%
2100376
11.3%
3249719
28.0%
4135973
15.3%
ValueCountFrequency (%)
817473
 
2.0%
7169318
19.0%
574346
 
8.3%
4135973
15.3%
3249719
28.0%

ZABEOTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3624376
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:43.582490image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.352704299
Coefficient of variation (CV)0.4022987071
Kurtosis-0.2449129835
Mean3.3624376
Median Absolute Deviation (MAD)1
Skewness0.02846326419
Sum2996675
Variance1.82980892
MonotonicityNot monotonic
2021-05-29T15:54:43.677880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3364905
40.9%
4210095
23.6%
1123622
 
13.9%
584956
 
9.5%
674473
 
8.4%
233170
 
3.7%
ValueCountFrequency (%)
1123622
 
13.9%
233170
 
3.7%
3364905
40.9%
4210095
23.6%
584956
 
9.5%
ValueCountFrequency (%)
674473
 
8.4%
584956
 
9.5%
4210095
23.6%
3364905
40.9%
233170
 
3.7%

ANREDE_KZ
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.522098335
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:43.765024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4995117051
Coefficient of variation (CV)0.3281730843
Kurtosis-1.99217577
Mean1.522098335
Median Absolute Deviation (MAD)0
Skewness-0.088479946
Sum1356526
Variance0.2495119436
MonotonicityNot monotonic
2021-05-29T15:54:43.852114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2465305
52.2%
1425916
47.8%
ValueCountFrequency (%)
1425916
47.8%
2465305
52.2%
ValueCountFrequency (%)
2465305
52.2%
1425916
47.8%

ALTERSKATEGORIE_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.777397525
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2021-05-29T15:54:43.935224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068774768
Coefficient of variation (CV)0.3848115937
Kurtosis2.430415046
Mean2.777397525
Median Absolute Deviation (MAD)1
Skewness0.2196377488
Sum2475275
Variance1.142279505
MonotonicityNot monotonic
2021-05-29T15:54:44.029361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3358533
40.2%
4228510
25.6%
2158410
17.8%
1142887
 
16.0%
92881
 
0.3%
ValueCountFrequency (%)
1142887
 
16.0%
2158410
17.8%
3358533
40.2%
4228510
25.6%
92881
 
0.3%
ValueCountFrequency (%)
92881
 
0.3%
4228510
25.6%
3358533
40.2%
2158410
17.8%
1142887
 
16.0%